Medical physics jobs in LondonCreate job alerts

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality., • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. [Complete by TA / HR with local benefits and compensation details] • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Staff Machine Learning Engineer to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating scientific research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required. [Complete by TA / HR with local benefits and compensation details] • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Partrac are one of Europe’s leading metocean providers for the renewables and other coastal and offshore industries. We are particularly well known for delivering high quality metocean monitoring campaigns to the growing offshore wind industry across Europe, including the floating wind sector which is developing rapidly. We are growing fast and need specialists to join our team, in order to help our clients plan and execute successful projects offshore. Currently, we have an exciting opportunity for a Metocean Data Analyst to join our expanding team, based in the heart of the southwest of the UK. We have a culture of continual improvement, teamwork and openness. For candidates with the right aptitude there are opportunities to be involved in a range of exciting projects, to obtain training and to grow with the company. At Partrac we’re proud to be a formative member company in game-changing offshore wind services business Venterra Group.- Degree in oceanography, marine science, data science, physics, mathematics or engineering (or equivalent) • Experience in oceanographic data processing (principally from current doppler profilers, marine sensors and wave buoys), • MATLAB user & script writer (including debugging)., • Advanced user of MS Excel., • Experienced in applying data QC protocols., • Experienced in writing succinct, accurate data reports., • Excellent proof-reading skills., • Ability to work to deadlines and to work on multiple projects., • Systematic and methodical approach with a fine attention to detail., • Ability to present data and communicate results effectively and clearly., • A highly motivated, technical team-player who is methodical, organised and logical. We would prefer you to base yourself at our Devon office and you may find this easier if you have a driving licence (not necessary for the job) You may not have a 100% match to the skills we list below but if you have most of them and can explain how your other skills will be valuable to us then please apply.The Data Analyst is responsible for the final deliverables (data and reporting) across all measurement projects. In this role you will complete metocean data processing, report writing and quality control of measurement project outputs. Data Processing & Analysis: - • Understand the technical outputs of all meteorological and oceanographic equipment in the Partrac equipment pool., • Utilise MATLAB data processing scripts and additional toolboxes., • Scrutinise data for error, outliers and potential equipment issues., • Coordinate with the team to process and analyse meteorological and oceanographic data. Reporting: - • Write scientifically robust technical reports., • Deliver work to required standards and meet client deadlines., • Format, check and review of technical reports. Business Systems: - • Provide input into Continuous Improvement Groups., • Recording of con-compliance and incident reports.Working at Partrac means you are trusted to use your initiative. We will give you the freedom to follow your ideas and to make an impact. You will find yourself in a culture that champions continual improvement, openness, and teamwork. If you are on the lookout for new, better ways to do things and want to be supported by a talented team of peers, you will fit right in here. Our company is growing quickly, so there are plenty of opportunities for progression. As we are a market-leading team and well respected in our industry, working with us will be an excellent career move. Working in a market leading team with a high level of industry recognition. • Interesting and varied projects that make a difference., • A resilient, dynamic working environment., • Regular training and professional development., • A friendly, supportive team environment., • Generous holiday allowances., • Flexible working options., • Competitive salary and benefits., • Medical Insurance., • Company pension scheme., • Employee Assistance Programme., • Cycle to work scheme., • Electric Vehicle Scheme Work-life balance is important at Partrac, and we all enjoy making the most of our enviable location in the southwest of the UK, within striking distance of Dartmoor, numerous beaches, and rugged coastlines. To this end we are a flexible employer and offer hybrid working opportunities.

Our mission is to hasten the transition to universally accessible healthcare. We deliver on this mission by enabling innovators to bring cutting-edge software and AI to the healthcare market safely and quickly. We're regulated by the UK Government and European Commission to do so. Our certification process is optimised for software and AI, facilitating a more efficient time to market, and the frequent releases needed to build great software. This ensures patients safely get the most up-to-date versions of life-changing technology. Come help us bring the next generation of healthcare to the people who need it. Scarlet’s Quality Team plays a pivotal role in ensuring that Medical Device Manufacturers meet and exceed the Quality Management System (QMS) requirements laid out by the regulators. With deep expertise in regulatory standards, the team designs efficient workflows that enable timely and secure QMS audits of the next generation of Healthtech products. The Quality Team's goal is to ensure full compliance and operational excellence—both within Scarlet and for Medical Device Manufacturers. Get authorised to audit and certify the quality management systems of the most innovative healthcare companies in the world Decompose, interpret and implement relevant quality requirements (ISO 13485, ISO 17021, EU MDR, ISO 42001, ISO 27001, etc.) Optimise the assessment of customer data by designing efficient audit processes Be involved in maintaining and expanding Scarlet’s approvals in various jurisdictions and technologies Education - Bachelor’s degree in engineering, software engineering, computer science, physics or equivalent Work experience - Minimum of four years of professional experience in the field of medical devices Work experience - Minimum of two years of professional experience in quality management (e.g. ISO 13485, EU MDR, ISO 14971, etc.) Work experience - Experience auditing against medical device quality management requirements (e.g. ISO 13485, EU MDR, ISO 14971, etc.) Technical experience - Minimum one year of practical experience working with medical device software, demonstrating knowledge of relevant requirements (e.g. IEC 62304, IEC 82304, etc.), software development methodologies, cyber security, and one or more programming languages Work experience - Experience working with ISO 27001 Analytical reader - You feel comfortable with reading normative texts and analysing and interpreting requirements to extract the essential information Ferociously curious - You like going down rabbit holes, understanding deeply how things work, and challenging the status quo Highly adaptable - You have worked in different environments and like operating with autonomy on sometimes ambiguous tasks At Scarlet, we have built our interview processes to ensure you get to fully understand the role and Scarlet’s culture, and to ensure we get to know about your skills, expertise, and who you are. Here is what to expect: Recruiter Screen and Intro call with Hiring Manager - 45 mins Regulatory and Auditor Skills Interview with Quality Team - 45 mins Cross-functional Problem Solving Interview with Operations Team - 45 mins Founder Interviews - 2x30 mins References Offer

Radiology Imaging Specialist An excellent opportunity for a radiographer with experience of CT, MRI or x-ray imaging to join a market leader in the healthcare sector Basic Salary Up To £60,000 Car Allowance £6,000 Train & Underground Travel Expenses Paid Excellent Benefits Package *A 12 month fixed term contract for maternity cover* The Role - Radiology Imaging Specialist Following expansion, they seek to recruit a customer focused and technically motivated Radiology Imaging Specialist responsible for: Providing advice and guidance on diagnostic imaging equipment Creating technical specifications for radiology and radiotherapy equipment Reviewing tender responses Assisting in the selection of diagnostic imaging equipment Your Background - Radiology Imaging Specialist To be considered for this exciting role, you must be able to demonstrate: Detailed knowledge of one of the following: diagnostic imaging equipment, interventional imaging equipment, CT / MRI, ultrasound or radiotherapy equipment Previous experience working as a radiographer Qualification in diagnostic radiography or medical physics Well organised with excellent attention to detail Experience working in a clinical setting and an understanding of the associated responsibilities and issues The Company - Radiology Imaging Specialist My client is a leader in healthcare Impressive port...

Electronics Engineer Bristol £40000 - £60000 YT Technologies are currently partnering with Domin, a high-growth technology business that is fundamentally redefining motion control. They are combining additive manufacturing, fluid mechanics, and high-speed electric machinery to build the next generation of advanced hydraulic systems. They are looking for an Electronics Engineer You will work on embedded motor-drive electronics and control systems that combine sensing, communications, power electronics, and embedded control into compact, high-performance hardware operating in demanding real-world environments. This role is ideal for an engineer who enjoys taking ownership of real hardware problems - someone equally comfortable designing circuits, debugging prototypes in the lab, working through validation activity, and collaborating closely with multidisciplinary engineering teams to deliver production-ready systems. The Role: Key Responsibilities; Design and develop electronics hardware for embedded motor-control and electrohydraulic systems. Produce schematics, PCB layouts, and supporting engineering documentation using Altium Designer. Carry out prototype bring-up, hardware debugging, validation, and test activities. Define and execute electronics-level validation and test plans to validate circuit functionality and performance. Collaborate closely with embedded software, mechanical, and controls engineers to support system integration. Support iterative improvement of existing electronics designs through testing, analysis, and engineering change activity. Essential Requirements; Degree-level education in Electronics Engineering, Electrical Engineering, Physics, Maths, or a closely related discipline. 2-7 years Industry experience developing electronics hardware in a product development environment. Strong understanding of mixed-signal electronics design, schematic capture, PCB layout, and practical circuit debugging. Experience using professional ECAD tools, ideally Altium Designer. Ability to independently make circuit-level design decisions and define appropriate hardware validation activities. Why Domin? Key Benefits Private medical insurance for all employees 5% employer pension contribution, independent of personal contribution (National Insurance savings passed on to employees through the pension scheme) Annual bonus scheme of up to 5 weeks salary, awarded for exceptional contribution Annual leave aligned to working pattern, typically 22 days for employees working a 9-day compressed fortnight or 27 days for employees working a full 10-day fortnight Enhanced maternity leave after two years service, including 3 months full pay Enhanced paternity leave after two years service, including 2 weeks full pay Paid sabbatical opportunities after 7 and 14 years service Option to work away from the office for up to 7 calendar days once per holiday year after 3 years service Life at Domin In addition to the core benefits, Domin provides a range of everyday benefits that support a positive, practical and rewarding working environment. These include: Cycle to work scheme Free parking Flexible working policies Summer sports day Christmas party with partners High-quality tea and coffee Free unlimited snacks Monthly breakfast club If you are a motivated Electronics Engineer looking to make a tangible impact on a product roadmap, I want to hear from you. Please apply within. TPBN1_UKTJ

Senior Containment Fault Studies Analyst Advanced Nuclear / SMR Programme Location: Derby / Manchester / Warrington | Hybrid Working Available Salary: £50,000 - £66,500 + Bonus & Excellent Benefits Morson are supporting a pioneering advanced engineering organisation as they continue to expand their specialist Performance & Analysis capability, contributing to one of the UK's most exciting low-carbon energy programmes. This is a rare opportunity to play a key role in containment analysis and fault studies, working at the forefront of reactor safety, modelling, and performance within a highly regulated and safety-critical environment. The Role Working within the specialist Performance & Analysis function, you will take a senior role in the development and application of thermal-hydraulic models used to assess containment behaviour and safety system performance under fault conditions. You will technically lead small teams, delivering complex analysis that supports plant design optimisation, safety case development, and regulatory substantiation. This role involves close collaboration with multidisciplinary teams across design, safety, and testing to ensure robust, validated, and high-quality analytical outputs. Key Areas: Containment thermal-hydraulic modelling & fault studies Reactor fault & transient analysis Verification, Validation & Uncertainty Quantification (VVUQ) Safety case development & substantiation Python-based analysis tool development Linux & High-Performance Computing (HPC) Experimental benchmarking & test validation Advanced reactor & SMR technologies We'd Love to Hear From You If You Have: Strong background in thermal hydraulics, fluid systems, or process analysis Experience delivering analysis within safety-critical environments Proven capability in verification & validation (V&V / VVUQ) Experience producing technical reports and contributing to safety cases Experience developing or applying engineering analysis models and methods Python programming for engineering or scientific applications Experience leading technical work or small teams and delivering to time, cost, and quality Experience with the below would be highly advantageous: RELAP FLOMASTER VIPRE CTF GOTHIC Qualifications Degree qualified in Engineering, Physics, Mathematics, Computer Science, or similar Chartered Engineer status, or working towards chartership, desirable Salary & Benefits Salary between £50,000 – £66,500 Bonus up to 12.5% £2,200 flexible benefits allowance Excellent pension scheme 28 days holiday + bank holidays, with option to buy/sell additional days Private medical insurance Life assurance Enhanced family-friendly policies including IVF support Flexible & hybrid working Home office allowance This is an opportunity to join a rapidly growing advanced engineering organisation delivering one of the UK's most innovative and technically challenging programmes. If you're passionate about complex engineering analysis and want to play a key role in nuclear safety and advanced reactor development, we'd love to hear from you. Please note: Due to the nature of the work, successful applicants will be required to undergo BPSS and DBS clearance checks. TPBN1_UKTJ

Physicist - Defence Systems - Cambridge A recently established and growing defence company, located in Cambridge, is currently seeking a couple of Physicists to contribute to the invention and development of cutting-edge technologies used in various capacities to ensure the security of defence, aerospace, telecommunications, and other sectors where security is of paramount importance. You will collaborate with a team of experts, including electronics, engineering, design, embedded systems, and other physicists, to develop these systems. Working alongside this expert team will offer you continuous opportunities for skill development. Given the diverse range of systems and technologies you will work on, we welcome physicists from various fields, such as microfluidics, sensors, optics, acoustics, electromagnetics, thermal physics, and other complex domains. Ideally, you should be proficient in analytical, numerical, and finite element simulations, as well as hands-on engineering physics for building systems. With a variety of projects and disciplines to engage in, your work will remain engaging and challenging. The company is dedicated to enhancing your skills and knowledge, ensuring you are well-equipped to work on cutting-edge technologies and innovate new systems. As the world increasingly adopts smart technologies and artificial intelligence devices, you may also have the opportunity to work on Machine Learning and AI technologies. If you have experience or an interest in these fields, it will be advantageous. Previous experience in defence, aerospace, or telecommunications is not mandatory; we welcome physicists from all sectors. Given the sectors you will be working in, the ability to obtain Security Clearance is essential. Typically, this requires being a British citizen without a criminal record or having lived and paid taxes in the UK for more than five consecutive years. In addition to career development and involvement in complex and innovative projects, you will receive an attractive starting salary, regular pay reviews, bonuses, complimentary meals, free parking, a generous company pension, gym membership, wellness programs, healthcare, dental benefits, and other exceptional perks that are competitive with any UK company. Due to the complex and inventive nature of the work, we anticipate significant interest in this role. If you are interested, we recommend submitting your application now to avoid missing out. Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance, and Field Service Engineering sectors.

Our client, 3P Innovation, is a leader in the design and manufacture of automated machinery for the pharmaceutical, medical device, and FMCG industries. They deliver innovative, high-quality automation solutions that help clients improve efficiency, productivity, and compliance. Their teams work collaboratively across design, engineering, and manufacturing to deliver bespoke and platform machinery to a global client base. The Role As the Senior Electrical Engineer, you will work within a multi-disciplinary team to deliver projects across their full lifecycle, from concept and sales support through build, commissioning, installation, and after-market support. This is an excellent opportunity to apply your engineering expertise to complex, cutting-edge machinery projects in the pharmaceutical, medical device, and FMCG sectors. Key Responsibilities Lead the design and delivery of electrical systems for custom and platform machinery projects from proposal to after-market support. Ensure projects are delivered on time, on budget, and to specification, highlighting risks where appropriate. Collaborate with clients and internal teams to develop machine concepts and respond to User Requirement Specification (URS) documents. Support Sales and Applications teams in preparing proposals for future projects. Produce validation documentation, including Hardware Design Specifications, test records, risk assessments, and O&M manuals. Support machine validation and on-site installation, including Factory Acceptance Testing (FAT) and customer validation. Assist in project procurement: create accurate Bills of Materials (BOMs), liaise with suppliers, and ensure competitive purchasing. Provide technical leadership and mentorship to junior electrical engineers and technicians. Troubleshoot and resolve machine issues in collaboration with Mechanical and Software teams. Contribute to the continuous improvement of departmental processes and procedures. Essential Skills & Experience Passion for Electrical Engineering and Automation. Strong written and verbal communication skills. Proven track record delivering successful projects in multi-disciplinary teams. Proactive, adaptable, and able to manage multiple projects simultaneously. Fluency in English, both written and spoken. Hands-on experience with industrial electrical systems. Electrical control panel, machine wiring, and safety system design. AutoCAD Electrical or similar CAD software experience. Knowledge of European directives (Low Voltage, Machinery, EMC) and IEC 60204-1. Experience with functional safety design (ISO 13849-1 or equivalent). Understanding of motion control technologies (servo drives, inverters). Excellent problem-solving and troubleshooting skills. Desirable Skills & Experience Experience designing special-purpose machinery. Beckhoff / Siemens control systems experience. Commercial awareness with knowledge of project costing and budgeting. Experience in pharmaceutical equipment or highly regulated industries. Ambitious, career-oriented, and looking to grow professionally. Experience using SISTEMA for safety circuit validation. Recognised machine safety qualification. Basic programming knowledge and familiarity with mechanical and pneumatic systems. Qualifications Minimum 2:1 degree in Electrical/Electronic Engineering. Grade B or above in A-Level Maths and Physics. Why Apply? This is a chance to joina forward-thinking, innovative company delivering bespoke automation solutions for leading global clients. The successful candidate will have the opportunity to apply their technical expertise, work on cutting-edge machinery, and develop their career within a collaborative and supportive environment. Hybrid working typically 1 day a week / 4 focus days per month 9 day working fortnight 28 days holiday 8 bank holidays Employer pension contributions matched up to 7.5% Access to the Employee Ownership Dividend up to £3,600 tax free (based on performance & service) Discretionary annual bonus (after probation) Life assurance (4x salary) Enhanced family leave If youre interested in this opportunity, wed love to hear from you, apply today! TPBN1_UKTJ

Senior Electronics Engineer - Medical Devices Invention - Warwick A growing Medical Devices company are currently seeking an experienced Electronics Engineer to contribute to the invention and development of brand-new Medical Devices. Based in the Warwick area, you will be involved in developing cutting-edge technologies. Working alongside physicists, mechanical engineers, scientists, and other Medical Devices experts, you will be involved in creating lifesaving and life-improving Medical Devices. You should have a background in designing and developing Medical Devices to ISO 13485, IEC 62304, and EN 60601 standards. It would be beneficial if you have experience on various types of Medical Devices during your career, such as Medical Robotics, Wearable Diagnostics, Injectable Treatment and other complex Medical Devices with electronics design at the core of the technology. To be successful in the role, it is expected that you would hold a degree in electronics, physics, or other subject that enabled you to work on the electronics design of medical devices. In addition to working on the latest areas of Medical Devices and Healthcare Technology, you will also be rewarded with an excellent starting salary, bonus, pension, healthcare, and other outstanding benefits that are not typically available with most companies. This is an exciting role where you can focus on new types of Medical Devices, so I anticipate a lot of interest. If you are interested, I suggest you submit an application now or risk missing out. You will be on-site five days a week; hybrid or remote working is not currently possible. Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.

Start Delivering with Uber Eats.Delivering with Uber Eats is a flexible way to earn.You can earn quick cash on your own schedule and receive your earnings weekly.You decide how much or little you want to deliver.Grab your car, bike, motorbike, or scooter and be a delivery person whenever you want -

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu