Validation engineer jobs in United Kingdom

Job Title: End-to-End QA EngineerLocation: London (Hybrid)Employment Type: Full-Time £50-55k + Benefits DOE Position Summary Expanding Software Development focused organisation already hired 8 technical resource into the Ops teams this year.... We are seeking a meticulous and driven End-to-End Quality Assurance (QA) Engineer to join our dynamic technology team. In this role, you will be instrumental in ensuring the flawless performance of our software applications, APIs, and hardware integrations through rigorous manual testing. You'll work across the full product lifecycle, collaborating with cross-functional teams to uphold the highest standards of quality, reliability, and user experience. Key Responsibilities Test Planning & Strategy • Design and implement robust test plans for software, APIs, and hardware., • Collaborate with developers and product managers to define testing scope and objectives., • Execute manual functional tests to validate expected behavior., • Conduct performance, load, and stress testing., • Manually test APIs for functionality, performance, and reliability., • Validate data flow and integrity across integrated systems., • Ensure data accuracy and consistency across databases and sources., • Perform reconciliation and validation tasks., • Test applications on mobile, tablet, and IoT devices., • Identify and troubleshoot hardware-software integration issues., • Log and track defects with detailed documentation., • Work closely with development teams to ensure timely fixes., • Act as a bridge between development, product, and implementation teams., • Provide clear updates on testing progress and risks., • Proven experience in QA engineering or software testing roles., • Strong understanding of testing methodologies and QA processes., • Hands-on experience with API testing tools (e.g., Postman, SoapUI)., • Excellent analytical and problem-solving skills., • Detail-oriented with a commitment to quality., • Strong communication and teamwork abilities., • Familiarity with device testing and cross-platform compatibility., • Knowledge of data verification and integrity principles.

Company Description The Anthro joint venture between___s and___g will provide comprehensive turn-key services for London’s state-of-the-art HS2 gateway station at Old Oak Common. We have been awarded a multi-year contract to deliver MEPHFC (Mechanical, Electrical Public Health, Fire and Communications) systems works .The role is hybrid and you will be required to attend site in Acton (West London) 3 days a week . Job Descripti on The Timesheet Cost Assistant is a key member of the finance and accounting team, responsible for the accurate and timely collection, validation, and processing of employee timesheet data. This role is crucial for ensuring that labour costs are correctly assigned to specific projects, jobs, or departments for financial reporting, billing, and analysis purposes. The Timesheet Cost Assistant works closely with project managers, employees, and the payroll department to maintain data integrity and support cost-related decision-maki ng. Key Responsibilit • curateAccurately input weekly timesheet data for project Labour into the company's financial and project management software. Verify timesheet entries against gate entry records and established company policies, project codes, and approval wor, • kflowsIdentify and resolve any discrepancies or issues with timesheet submissions in a timely manner by communicating with employees and their super, • visorsEnsure all billable and non-billable hours, overtime, and leave are recorded cor, • processAssist in the preparation of forecasting for employees based on timesheet trending for project and company’s payment application, • processAssist in the preparation of monthly accruals for all employee costs for financial r, • urs/costs)Generate weekly timesheet summary data and distribute to project managers and department heads to support accurate timesheet recording in line with project, • guidelinesAssist with the analysis of project compliance with contract policies and manage the derogati, • cost queriesCollaborate with the Payroll department to ensure a seamless and accurate payroll run based on timesheet dat, • a for LabourCommunicate with Project Managers to understand project requirements and ensure timesheet data aligns with pr, • audit purposesAssist in month-end and year-end closing procedures as they relate to labour cost accruals, • and reportingStay informed of company policies and procedures related to timekeeping * Qualifications Education: A-levels, BTEC, or equivalent qualification. A degree or pursuing a degree in Accounting, Finance, or a related • field is a plusExperience: Previous experience in an administrative, or accounting support role in a construction project, particularly with a focus on timesheets or data ent, • ry is a, • dvisable.Skills:Numerical and Analytical Skills: Exceptional attention to detail and a high de, • gree of accuracyIT Proficiency: Advanced knowledge of Microsoft Excel (e.g., XLOOKUP, pivot tables) and experience with timesheet or accounting software (e, • .g., Asite, SAP)Communication: Excellent verbal and written communication skills to effectively liaise with various tea, • ms and employeesOrganizational Skills: Strong ability to manage multiple tasks, prioritise, and meet, • tight deadlinesProblem-Solving: Proactive and capable of identifying and resolving dat, • a discrepancies.Integrity: A high level of integrity and discretion when handling sensitive financial and empl oyee information Addit ional information We are commit ted to our planet:In each project we design, engineer and operate we care deeply about the legacy we’re leaving behind. As part of our team, you’ll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe.Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. Diversi ty & Inclusion:We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one’s contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.

Optical Design Engineer – SE London/Kent – Scientific Instruments About the Company: We are looking for a Design Engineer with significant optics and instrument development experience to join an established, expanding company in the Southeast London/ Kent area. Responsibilities: • Provide full technical support for existing optical products and manage enhancement projects., • Lead optical design and development from concept through validation and production., • Translate product requirements into technical specifications and testing methods., • Maintain robust design control, risk assessment (DFMEA/DFM), and documentation., • Act as a technical authority, guiding design decisions and cross-functional collaboration., • Define and execute optical testing standards and analyse results to support development. Requirements: • Degree in Optical Engineering, Physics, or a related field., • Proven experience in optical system design and product development., • Strong understanding of illumination, interferometry, spectroscopy, and polarisation., • Skilled in simulation software (e.g., Zemax, CodeV, LightTools)., • Proficient in DFM/DFA principles, tolerance analysis, and statistical performance evaluation., • Solid knowledge of optical manufacturing methods and precision processes., • Excellent analytical, communication, and problem-solving skills.

Position Description We are looking for an experienced Senior Fire Engineer to lead the design and implementation of fire suppression and detection systems across our data center facilities. This role is mission-critical to ensuring system reliability, operational uptime, and life safety compliance. You will serve as part of our Fire Engineering team to provide the technical authority on fire protection engineering, working cross-functionally with our construction, operations, and innovation teams to ensure scalable, cost-effective, and compliant fire protection solutions. System Design & Engineering · Design fire suppression and detection systems using tools to support scalable, cost-effective solutions for hyperscale and colocation data centers. · Drive all phases of fire protection engineering: conceptual design, basis of design, construction documents, and procurement strategy. · Ensure system designs comply with NFPA standards, AHJ requirements, and business-specific design criteria. Project Execution & Oversight · Lead coordination with external fire protection consultants, contractors, and design-build partners. · Review and approve technical submittals, RFIs, and engineering analyses for system effectiveness and compliance. · Attend on-site meetings, conduct site walks, and oversee progress and installation quality for conformance with design and operational needs. · Provide detailed design progress reporting and risk assessments to leadership. Cross-functional Collaboration · Interface with internal engineering teams (mechanical, electrical, controls amongst others) to ensure holistic, integrated system performance. · Support data center commissioning and validation activities, especially fire/life safety systems and sequences of operation. · Partner with Operations and reliability engineering teams to troubleshoot live systems and develop corrective action plans with minimal disruption to services. Innovation & Standards Development · Conduct ROI/IRR analysis and value engineering reviews for fire systems and related infrastructure. · Participate in internal product innovation cycles and contribute to patent applications for novel systems or processes. · Help establish company-wide design standards and commissioning protocols for fire systems in all facilities. Qualifications · Bachelor's degree in Fire Protection Engineering, Mechanical Engineering, or related discipline. · Minimum 5+ years of fire protection engineering experience in the data center industry · Understanding of applicable codes and standards (NFPA 72, 75, 2001, IBC, IFC, FM Global). · Proven experience managing contractors on large-scale projects. · Proficiency in fire modelling, system selection, and commissioning documentation. Preferred: · Professional Engineering (PE) license or Chartered Engineer (CEng) status in Fire Protection. · Experience supporting sales, RFP responses, or customer-facing engineering discussions. · Familiarity with BMS/EPMS integration and control systems relating to fire systems. · NEBOSH Fire Safety or CFPS certification. Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers. Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.

We are seeking an experienced AI Engineer to lead the integration and strategic application of artificial intelligence in our innovative financial management platform, tailored for sectors like super yachts and touring bands. This role demands expertise in defining AI strategies, identifying high-impact use cases, and establishing best practices to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and mobile applications. Collaboration with developers, testers, and mobile engineers is key to embedding AI insights and building a unified ecosystem. You will promote best practices in AI development, governance, ethics, and integration, shaping our innovation roadmap. Additionally, you will optimize algorithms with tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud services (e.g., AWS SageMaker), including data analysis, model training, and validation. You will address issues in model accuracy, bias, and integration, complying with data privacy regulations while supporting growth. Finally, you will track AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in financial contexts. Strong problem-solving, code quality focus, and collaboration skills are vital. We provide a competitive package with benefits, bonuses, and equity shares to encourage ownership in our success. Our leaders have built and sold software firms and held roles at Amazon and Microsoft. The role will be based from home so if you are looking for flexible working in an grown up environment where you are trusted and given the space to create something special, please get in touch. Venchr is an equal opportunity employer. We do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy, race, religion or belief, sex, or sexual orientation. All applicants will receive consideration for employment based on their talent, skillset and individual merit alone.

Senior BMS / MEP Validations Engineer – London - £65,000 RGB are representing a fast-growing building services engineering consultancy entering its next phase of expansion. Since launching in 2020, the company has seen rapid growth across its Design, Energy & Sustainability, and Commissioning Management teams and is now developing its operations division, with a focus on Validations. This is a pivotal moment to get involved, working alongside senior leaders who have a track record of building high-performing technical teams. We're seeking a technically strong, motivated engineer ready to take ownership, shape a growing division, and play a key role in the company’s continued success. Salary package: • £50,000 - £65,000 – Plus performance bonus, • 25 Days Holidays, • Annual salary review, • Opportunities for training, mentoring, and personal development, • Direct access to senior leadership and involvement in major projects, • Progression Key Responsibilities • Lead the preparation of validation activities, including permits, access logistics, and RAMS, ensuring all documentation is in place and aligned with project requirements., • Carry out thorough inspections of Mechanical, Electrical, and Public Health systems, identifying issues, assessing performance, and documenting findings with detailed commentary and supporting photos., • Work collaboratively within the team, effectively sharing responsibilities and providing guidance to junior engineers and subcontractors., • Manage third-party vendors during site activities, ensuring compliance with quality, safety, and schedule expectations. Act as a professional representative in client meetings and on-site engagements., • Produce accurate, well-structured validation reports using Microsoft Office tools. Track progress, record actions, and provide clear, actionable recommendations., • Monitor project timelines, identify risks or delays, and support the alignment of validation tasks with broader programme milestones., • Feed validation outcomes into the design process by identifying required system upgrades or replacements. Support commissioning phases during project redevelopment or fit-out works. About The Company: The company’s work spans the full project lifecycle, from early-stage design and energy strategy through to commissioning and post-occupancy validation. Its structure is built around four key divisions: • MEP Design, • Energy & Sustainability, • Commissioning Management, • Operations & Validations Requirements • Strong working knowledge of BMS platforms (e.g. Trend, Siemens, Schneider, Honeywell), • Proven track record in system validation, commissioning, or technical surveying, • Excellent written and verbal communication skills, with strong reporting ability, • Willingness to travel Be Part of the Next Chapter If you are an experienced engineer who wants to take ownership of your work, help build a team, and play a key role in shaping the future of a rapidly expanding consultancy, we would love to hear from you. Apply now or get in touch with the leadership team for a confidential discussion.

Mechanical Design Engineer (CAD Tooling) – SE London – circa £40 to £50.00 per hour DOE (Umbrella) – Long Term Contract Job Description: Our client is seeking an experienced Mechanical Design Engineer to play a key role in the industrialisation and introduction of cutting-edge submerged products into production. This long-term contract offers the opportunity to lead on defining, designing and validating complex tooling and equipment solutions, ensuring efficient assembly processes that deliver exceptional quality and reliability. Key Responsibilities: • Lead collaboration with Supply Chain and R&D teams to support the industrialisation of new products., • Define, design and optimise tooling and equipment, including jigs, lifting fixtures and workstations, for efficient assembly and testing., • Recommend and implement alternative tooling solutions to improve efficiency, safety and reliability., • Use Creo CAD to develop and model advanced tooling concepts., • Present tooling solutions and influence key stakeholders., • Identify and source external equipment to strengthen production capabilities., • Manage relationships with tooling manufacturers to ensure delivery, compliance and quality standards are met., • Inspect and validate new tooling against specification, calibration and inspection requirements., • Oversee tooling validation and qualification model builds. Requirements: • Degree (or equivalent) in Mechanical/Manufacturing Engineering., • Proven track record in designing tools, fixtures and equipment for complex assembly/manufacturing environments., • Proficiency in Creo CAD preferred., • Strong ability to apply reliability engineering judgement., • Experience with FEA (Ansys) for stress/simulation analysis., • Significant experience in technical/manufacturing environments, ideally within high-reliability sectors., • Excellent interpersonal, communication and leadership skills. How to apply: To apply for this excellent opportunity, please send your CV via Linkedin

Permanent | Space Systems | Hardware, Autonomy, and Innovation We’re supporting a pioneering deep-tech company building autonomous spacecraft systems that can sense, think, and act independently in orbit. Their technology is redefining how we protect and operate satellites in space, and they’re now looking for an Avionics Engineer to help design and deliver the next generation of intelligent orbital platforms If you love building complex electronics for real-world environments and want to work hands-on across design, integration, and testing, this could be your next big step. What You’ll Be Doing • Designing and laying out high-speed and mixed-signal PCBs for advanced space systems., • Conducting hardware bring-up, validation, and debugging using oscilloscopes, logic analysers, and other test equipment., • Building and maintaining electrical harnesses and assemblies for both flight and development hardware., • Working closely with mechanical, software, and systems teams to ensure seamless integration., • Supporting qualification testing for EMC, vibration, and thermal environments. What You’ll Bring • BEng/MEng in Electrical Engineering or equivalent hands-on experience., • Proven experience in PCB design, layout, and hardware testing., • Strong understanding of high-speed interfaces and signal integrity., • Skilled in using lab tools for debugging and performance testing., • Confident in electrical assembly, soldering, and harness fabrication. Nice to Have • Experience designing carrier boards for Linux-based SoCs., • Familiarity with NVIDIA SoCs or embedded Linux hardware platforms., • Exposure to FPGA integration and hardware simulation workflows., • Knowledge of space-rated electronics and fault-tolerant design., • Understanding of signal, power, and thermal integrity analysis. Please get in touch to find out more!

Halian is proud to partner with a leading medical device innovator based in London in their search for a Senior Systems Engineer. This is a pivotal role within the growing R&D team, driving both new product development and sustaining engineering for life-supporting technologies. As a Senior Systems Engineer, you’ll be at the forefront of shaping technical architecture, optimising engineering processes, and ensuring regulatory compliance across complex systems within Medical Devices. This is a fantastic opportunity to make a tangible impact in a regulated, high-reliability environment. Key Responsibilities: • Lead the definition and execution of technology roadmaps aligned with long-term business goals., • Own system architecture and feasibility assessments for assigned products., • Translate stakeholder needs into robust system requirements and design documentation., • Drive engineering governance activities including Critical Design Reviews (CDRs)., • Collaborate with V&V teams to support defect triage, issue resolution, and validation., • Monitor regulatory changes and ensure compliance with standards such as IEC 60601, IEC 62304, and ISO 14971., • Conduct risk management activities including FMEA and hazard analysis., • Champion continuous improvement across engineering tools and processes. Required Experience & Qualifications: Essential: • Bachelor’s degree in biomedical, mechanical, electrical, or systems engineering (or equivalent)., • Strong background in high-reliability systems., • Deep understanding of ISO 14971 and IEC 62304 standards., • Proven experience in systems engineering disciplines: requirements, architecture, design, V&V, and release., • Familiarity with ISO/IEC/IEEE 15288 lifecycle within regulated product development., • Comfortable working in cross-functional teams and dynamic project environments. Desirable: • Experience in ISO 13485-compliant environments., • Knowledge of real-time control systems and embedded platforms., • Experience in IEC 60601-1, • Strong communication and collaboration skills across engineering, quality, and clinical teams.

We are seeking a Senior Computer Vision / Multimodal Engineer to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities • Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding., • Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure., • Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production., • Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments., • Research and integrate state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI into production workflows., • Work with CCTV and multi-camera systems for tracking, localization, and behavior analytics., • Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance. Requirements • 5–7 years of experience in Computer Vision and Deep Learning with deployed production models., • Strong proficiency in Python and PyTorch; hands-on experience with OpenCV, TensorRT, ONNX, or Triton., • Proven expertise in object detection/tracking models such as YOLO, Deep SORT, DINOv2, or similar., • Experience with real-time or low-latency processing, multi-threaded programming, and performance tuning., • Experience deploying and optimizing models on edge devices (Jetson, Coral, etc.)., • Demonstrated passion for research, innovation, and emerging AI technologies., • Experience in 3D modeling or video behavior analytics is a plus. ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB!

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs and fast-growing startups to help build cutting-edge technology. Role: LLM - Sr. Software Engineer – LLM Evaluation & Repository Validation Type of Role: Short-term Contract Engagement Duration: 1 month (with possible extensions) Commitment: 10–40 hrs/week (flexible, partial PST overlap required) Start Date: Immediate Rate Range: $80–$125/hour Project Overview We’re building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. Engineers will work on diverse projects such as enabling models to traverse complex code bases or building agents that boost model performance. Role Overview — What Does a Typical Day Look Like? • Work across multiple projects aimed at improving LLM performance on code., • Lead and deliver end-to-end agent use cases (e.g., home automation agents, coding copilots, creative design assistants)., • Collaborate with the team to identify edge cases and ambiguities in model behavior., • Review and compare 3–4 model-generated code responses per task using a structured ranking system., • Evaluate code diffs for correctness, quality, style, and efficiency., • Provide clear, structured rationales for evaluation decisions. Required Skills & Experience • Several years of software engineering experience, including 1+ continuous years at top-tier product companies (e.g., Google, Stripe, Amazon, Apple, Meta, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in full-stack application development and deploying scalable, production-grade software., • Deep understanding of software architecture, debugging, and code quality assessment., • Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency., • Proficiency in backend languages (Java, Rust, Go, Node, Python, C++) and frontend frameworks (Typescript, JavaScript, React, Vue, Angular, jQuery)., • Excellent oral and written communication skills. P.S. After applying, within 1–2 days, you will hear from us via email and LinkedIn InMail, so please keep track of it.

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs and fast-growing startups to help build cutting-edge technology. Role: LLM - Sr. Software Engineer – LLM Evaluation & Repository Validation Type of Role: Short-term Contract Engagement Duration: 1 month (with possible extensions) Commitment: 10–40 hrs/week (flexible, partial PST overlap required) Start Date: Immediate Rate Range: $80–$125/hour Project Overview We’re building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. Engineers will work on diverse projects such as enabling models to traverse complex code bases or building agents that boost model performance. Role Overview — What Does a Typical Day Look Like? • Work across multiple projects aimed at improving LLM performance on code., • Lead and deliver end-to-end agent use cases (e.g., home automation agents, coding copilots, creative design assistants)., • Collaborate with the team to identify edge cases and ambiguities in model behavior., • Review and compare 3–4 model-generated code responses per task using a structured ranking system., • Evaluate code diffs for correctness, quality, style, and efficiency., • Provide clear, structured rationales for evaluation decisions. Required Skills & Experience • Several years of software engineering experience, including 1+ continuous years at product companies, • Strong expertise in Rust development and deploying scalable, production-grade software., • Deep understanding of software architecture, debugging, and code quality assessment., • Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency., • Proficiency in backend languages (Java, Rust, Go, Node, Python, C++) and frontend frameworks (Typescript, JavaScript, React, Vue, Angular, jQuery)., • Excellent oral and written communication skills. P.S. After applying, within 1–2 days, you will hear from us via email and LinkedIn InMail, so please keep track of it.

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: • Design automated test frameworks for optical networks using Python, C++, • Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes., • Engineer optimisation algorithms as part of the test framework platform and metaheuristic algorithms, • Support across the validation of testing, and analysis of data for improvement, • Collaborate with cross-functional teams of hardware, software, embedded and electronic engineers. Skills: • Software scripting and Automation experience using Python, C++, C#, • Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation., • Understanding of cloud-based environments and data pipelines., • Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you? • Up to £80k DOE, • Lucrative stock options., • 25 days holiday + bank holidays., • Hybrid working., • Relocation assistance., • Visa sponsorship provided.

Engineering Manager If you are interested in working on a small site that gives you a hands on, varied leadership role, this could be the perfect next opportunity for your career. With a number of exciting business wide initiatives from new product introductions and operational increases, through to expansions and new site launches, this leading pharmaceutical business is in a very exciting period of growth and transition. This specific hire is for their site in South London / North Surrey and will take full accountability for a small team and be responsible for maintenance, servicing and take a strong involvement in engineering projects. To take on this role you do not needto be an engineering veteran – it’s a two person team and therefore the key is that you can get stuck in and are willing to take on a number of the duties directly on a day to day basis. Full training will be provided in the pharmaceutical equipment and processes. The standard hours are 7am to 3pm Mon-Fri – but you need to be flexible as there will be call outs (including nights and weekends). Overtime/TOIL is available. For further information please contact Mark Bux-Ryan. Key experience: • Minimum of 2 years hands on experience in a hands on engineering / maintenance setting – must be within manufacturing., • Pharmaceutical and/or GMP experience would be a nice to have but is not essential, • Supervisory experience ideal but not essential if you have the depth of technical experience and the capability to manage, • Must live (or be willing to live) within one hour of the facility due to call out requirements, • Mechanical and electrical engineering capability would be beneficial Engineer, maintenance, service, field, site, mechanical, electrical, CQV, validation, project, team, leader, supervisor, senior, engineering, manufacturing, chemical, food, pharma, GMP

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

Data Engineer (Hybrid – London, UK) Overview An opportunity for a skilled and motivated Data Engineer to join a growing data engineering team within a fast-paced and innovative environment. This position is ideal for someone who enjoys designing robust, scalable data infrastructure using modern open-source technologies. The role offers exposure to diverse datasets, complex data challenges, and opportunities to influence technical direction and best practices. Key Responsibilities • Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools., • Build and optimise ETL/ELT processes for small to large-scale data processing requirements., • Develop data models and schemas to support analytics, business intelligence, and product needs., • Monitor, troubleshoot, and optimise data pipeline performance and reliability., • Collaborate with analysts, engineers, and product teams to gather and translate data requirements., • Implement data validation and quality checks to ensure data integrity., • Participate in architecture discussions and contribute to technical roadmap planning. Skills and Attributes • Strong analytical mindset with exceptional attention to detail., • Excellent problem-solving and debugging skills., • Ability to work independently and manage multiple priorities effectively., • Clear and confident communication skills, with the ability to explain technical concepts to non-technical stakeholders., • Experience working in agile development environments., • Passion for continuous learning and staying current with emerging data technologies. Technical Requirements • Proficiency in SQL, including complex query design and optimisation., • Strong Python programming skills, particularly with libraries such as pandas, NumPy, and Apache Spark., • Experience building and maintaining data ingestion pipelines and optimising performance., • Hands-on experience with open-source data frameworks such as Apache Spark, Apache Kafka, or Apache Airflow., • Knowledge of distributed computing and big data concepts., • Experience using version control systems (Git) and CI/CD practices., • Familiarity with relational databases (PostgreSQL, MySQL, or similar)., • Experience with containerisation technologies (Docker, Kubernetes)., • Understanding of data orchestration tools (e.g., Airflow or Dagster)., • Knowledge of data warehousing principles and dimensional modelling., • Understanding of cloud platforms and infrastructure-as-code (IaC) practices., • Awareness of real-time streaming and data quality monitoring solutions. Preferred Qualifications • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field., • 2–5 years of experience in data engineering or similar technical roles., • Familiarity with data processes and challenges in the energy or commodities sectors (beneficial but not required).

Role: Mid-level Electronics Engineer Location: London, UK Salary: £45,000 – £55,000 depending on experience Job Type: Onsite Sponsorship is Available Main skills we are searching for: • Proven experience in circuit design from concept through to validation and production release, • Strong background in digital electronics, including FPGAs (VHDL), microcontrollers, and serial interfaces (SPI, I²C, Ethernet), • Solid understanding of analogue electronics, including op-amps, filters, DC-DC converters, ADCs, and DACs, • Proficiency in schematic capture and knowledge of PCB layout and manufacturing processes, • Familiarity with electro-optic technologies, such as lasers, modulators, and PIN detectors If you are interested in this role and would like to discuss it further, please send your updated CV to or call 01182284110 to learn more about the position and review the full job specification.

Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetization by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Role Description This is a full-time on-site role for a Founding Engineer, located in the London Area, United Kingdom. The Founding Engineer will be responsible for leading the technical development of new software products, collaborating closely with content creators and their management teams, and implementing AI-driven solutions. The role also involves hands-on coding, system architecture design, and ensuring scalability and reliability of the software. The Founding Engineer will work in a fast-paced, dynamic environment and contribute to the overall strategy and growth of digital ventures. Responsibilities • Code with AI-first speed. Use AI to turn product specs into production-ready React, Supabase, and serverless back-ends in days, not weeks., • Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites., • Prototype → pilot → product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat., • Wear many helmets. One sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time., • Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements • Full stack developer, • AI-native developer that has used or experimented with the latest AI development tooling, • Strong coding and software development skills in languages and with tools such as ReactNative / Flutter / Next.js, Supabase / Postgres, Python, • Experience in system architecture design and implementation, • Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems, • Experience in startup environments and rapid product development, • Bachelor's or Master's degree in Computer Science, Engineering, or related field, • Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's • Prompt-engineering or fine-tuning experience, • Familiarity with Stripe, Discord, TikTok or other creator-economy tools, • Side hustle, hackathon wins, or open-source contributions, • Shipping Experience: You’ve shipped AI side projects, or research, that prove you can learn fast and finish. Why this role is a-career launchpad • Own the code & the company. You step in as Founding Engineer #1, receiving a meaningful equity stake from day one., • Ship faster with AI at your side. We’ve baked AI tools into our workflow so you spend time solving problems, not yak-shaving boilerplate., • Ride a rocket, not a conveyor belt. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Think “Prime for software”, • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3 - 4 years in a typical startup., • Learn from builders, not bosses. You’ll work shoulder-to-shoulder with a founding team that has scaled VC-backed startups, closed multi-million-pound term sheets, and shipped products used by millions.

Job Title: Installation Methods Engineer Location: Project Office / Offshore Support Reports To: Project Engineering Manager Role Summary The Installation Methods Engineer is responsible for the development, validation, and delivery of installation methods for offshore and subsea operations. This role focuses on creating safe, efficient, and practical procedures to support the successful execution of offshore campaigns. Working closely with project engineering, marine, and offshore teams, the Methods Engineer ensures that all installation activities are engineered to meet project requirements, industry codes, and HSE standards. Key Responsibilities • Develop detailed installation methodologies and procedures for subsea structures, pipelines, umbilicals, risers, and heavy lifts., • Perform engineering analyses for lifting, rigging, seafastening, transportation, load-out, and installation operations., • Prepare engineering work packs, method statements, and supporting documentation., • Coordinate with drafting teams to produce rigging layouts, deck plans, and installation schematics., • Interface with marine, construction, and vessel teams to validate methods and ensure operational readiness., • Engage with Marine Warranty Surveyors (MWS), classification societies, and client representatives to obtain approvals., • Conduct constructability reviews and risk assessments for proposed installation methods., • Provide remote office support during offshore execution, resolving technical queries as required., • Capture lessons learned and contribute to continuous improvement of methods and procedures. Qualifications & Experience • Bachelor’s degree in Mechanical, Marine, Offshore, Structural, Subsea, or related engineering discipline (or equivalent)., • 5+ years’ experience in offshore/subsea installation engineering, ideally with a focus on methods development., • Knowledge of offshore installation techniques (pipelay – S-lay, J-lay, reel-lay; subsea structures; SURF; heavy lift)., • Proficiency with analysis software (Orcaflex, SACS, Staad.Pro, Moses, or equivalent)., • Strong understanding of rigging, lifting gear, and seafastening design., • Familiarity with offshore construction standards, codes, and client specifications., • Strong technical writing and documentation skills for producing clear procedures and method statements., • Effective communicator with ability to coordinate across disciplines and project stakeholders., • Flexibility to travel occasionally to fabrication yards, client offices, or offshore sites. Key Deliverables • Approved installation methods, procedures, and method statements., • Complete engineering work packs and drawings., • Verified engineering analyses for marine and lifting operations., • MWS / client approvals for installation methodology., • Lessons learned reports and improvement recommendations.

About The Role As an Electrical Design Engineer on the Core Platform team, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—in particular, sensor integration to embedded firmware development and PCB design. You’ll collaborate closely with cross-functional teams to create reliable, high-performance electrical solutions that enable our robots to sense, compute, and operate in complex environments. What You’ll Do • Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems., • Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems., • PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics., • Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance., • Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation., • Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges., • Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. We’re Looking For: • BS or MS in Electrical Engineering, or a closely related field., • Experience with high-speed data technologies such as PCIE, MIPI, Ethernet and/or other communication protocols in PCB-based devices and systems., • Experience with sensor integration in embedded systems, • Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout., • Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs., • Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers., • Experience with Python, C++, LabView, or MATLAB for automation and testing., • Knowledge of SolidWorks or similar mechanical CAD tools., • Familiarity with Verilog or VHDL for hardware design and simulation., • Experience in building Linux kernels and modifying or writing device drivers. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

BioOrbit is pioneering space-based drug manufacturing. We use microgravity to grow high-quality protein crystals, enabling easier, at-home injectable therapies. As part of our recent success we are looking to grow our team. Position Overview We are seeking an experienced Systems Engineer to lead the design and integration of cutting-edge in-orbit pharmaceutical manufacturing systems. This role combines advanced space systems engineering with life sciences expertise to develop next-generation space-based manufacturing capabilities. You will be responsible for defining system architecture, managing complex requirements across multidisciplinary teams, and ensuring seamless integration of pharmaceutical manufacturing systems within space environments. This position offers the opportunity to work at the forefront of space commercialization, leading projects from concept through validation while maintaining the highest standards for both space systems and pharmaceutical manufacturing compliance. Key Responsibilities • Architect and integrate in-orbit pharmaceutical manufacturing systems, defining overall system architecture and ensuring seamless component integration across all subsystems., • Lead requirements management initiatives, establishing specifications, conducting trade-off analysis, and maintaining traceability throughout the development lifecycle., • Manage the complete project lifecycle from conceptual design through system-level testing, validation, and operational readiness., • Drive cross-functional coordination and manage technical interfaces between engineering disciplines, ensuring alignment across all stakeholders., • Execute and oversee test campaigns for payload systems, subsystems, and R&D programs, including test planning, execution, and results analysis., • Develop and maintain comprehensive technical documentation, including Verification Control Matrices (VCMs), system budgets, analysis reports, and operations manuals., • Lead technical collaboration through design reviews, engineering meetings, and cross-functional problem-solving sessions. Technical Skills + Core Competencies • Strong understanding of space system architecture principles., • Experience with requirements management and traceability., • Knowledge of verification and validation processes for space systems., • Familiarity with ECSS standards and space industry best practices., • Familiarity pharmaceutical manufacturing standards and or life science payloads., • Strong analytical and problem-solving abilities., • Excellent communication and presentation abilities, with a proven track record of effective collaboration in multidisciplinary teams., • Familiarity in systems engineering tools (DOORS, Jama, SysML). Required Qualifications • 3-5 years of experience in Systems Engineering, Aerospace Engineering, or related technical role., • Preference for candidates with space systems or satellite project experience., • Knowledge of ECSS standards (ECSS-E-ST-10C, ECSS-M-ST-10C) preferred., • Experience with complex system design and integration projects. This is an exciting opportunity to join a team that is at the forefront of innovation and pushing the boundaries of in space manufacturing. If you feel this role is of interest, please apply and one of the team from Innoforge will be in touch. Unfortunately, sponsorship cannot be provided for this position.

Overview The Manufacturing Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team. This position will focus on driving process improvements, enhancing manufacturing efficiency, and maintaining high standards of product quality through continuous improvement initiatives. Key Responsibilities • Assess new and existing technologies to develop and optimise manufacturing plans., • Maintain equipment functionality by performing basic maintenance and coordinating external servicing for major repairs., • Oversee maintenance records and troubleshoot production issues to minimise downtime., • Establish, implement, and sustain manufacturing processes for new products across their full life cycle., • Evaluate equipment and production methods with the goal of improving performance, efficiency, and reliability., • Create and validate automated machine programs., • Develop detailed process documentation and train production staff on updated procedures., • Provide advanced technical support to production teams to resolve complex issues., • Collaborate with Quality teams to analyse performance data, identify trends, and recommend corrective actions., • Use structured problem-solving techniques (e.g. root cause analysis) to address assembly and process issues., • Create and manage all manufacturing documentation in accordance with internal standards., • Perform additional related duties as required to support manufacturing operations. The Candidate Degree-qualified in Mechanical, Manufacturing, or a related Engineering discipline (BEng preferred). Strong understanding of Design for Manufacture (DFM) principles. Knowledge of lean manufacturing and continuous improvement techniques. Ability to read and interpret technical drawings, electrical schematics, and assembly documentation. Experience using ERP/MRP systems in a production environment. Capable of working under pressure and meeting tight deadlines. Excellent communication skills, with the ability to collaborate across teams and departments. Strong organisational skills with the ability to prioritise multiple projects effectively. Familiarity with project management methodologies is advantageous. The Package Salary: From £40,000 per annum, depending on experience.

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities: Data Pipeline Development & Optimisation: • Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform., • Optimise data pipelines for performance, efficiency, and cost-effectiveness., • Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: • Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies., • Develop and maintain data processing logic for cleaning, enriching, and aggregating data., • Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: • Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services., • Implement best practices for Databricks development and deployment., • Optimise Databricks workloads for performance and cost., • Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: • Integrate data from various sources, including relational databases, APIs, and streaming data sources., • Implement data integration patterns and best practices., • Work with API developers to ensure seamless data exchange. Data Quality & Governance: • Hands on experience to use Azure Purview for data quality and data governance, • Implement data quality monitoring and alerting processes., • Work with data governance teams to ensure compliance with data governance policies and standards., • Implement data lineage tracking and metadata management processes. Collaboration & Communication: • Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions., • Communicate technical concepts effectively to both technical and non-technical audiences., • Participate in code reviews and knowledge sharing sessions. Automation & DevOps: • Implement automation for data pipeline deployments and other data engineering tasks., • Work with DevOps teams to implement and Build CI/CD pipelines, for environmental deployments., • Promote and implement DevOps best practices. Essential Skills & Experience: • 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks., • Strong proficiency in Python and Spark (PySpark) or Scala., • Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns., • Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database., • Experience working with large datasets and complex data pipelines., • Experience with data architecture design and data pipeline optimization., • Proven expertise with Databricks, including hands-on implementation experience and certifications., • Experience with SQL and NoSQL databases., • Experience with data quality and data governance processes., • Experience with version control systems (e.g., Git)., • Experience with Agile development methodologies., • Excellent communication, interpersonal, and problem-solving skills., • Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs)., • Experience with data visualisation tools (e.g., Tableau, Power BI)., • Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes)., • Experience working in a financial services or economic data environment., • Azure certifications related to data engineering (e.g., Azure Data Engineer Associate).

Senior Optical Hardware Validation Engineer Location: London (Hybrid) Salary: £60,000 – £80,000 + Benefits Visa & Relocation: Support available for qualified candidates This role would suit an electronics or optical engineer with experience of highspeed fibreoptic network electronics integration, test and validation. The opportunity: This is an exciting and new opportunity to join a start-up involved with the research, development and design of optical / photonic technologies. Their technologies are designed to radically improve network speed and energy efficiency of AI / ML applications. The role: Involves the systems integration of optical transceiver and other photonics hardware. Also, test, prototyping, characterization and validation of their ultra-fast optical hardware products. As a Senior Optical Engineer, you’ll take an active, hands-on role in lab-based experimentation, hardware integration, and system-level validation. Working closely with multidisciplinary design teams, you’ll bring together advanced electronics (SoC / high speed boards) and optical technologies, helping to move products from prototype to production readiness. Typical involvements - Senior Optical Engineer / Hardware Validation Engineer • Integrate and test very high-speed optical / photonic and electronic hardware systems, • Assess optical transmission and network performance for short-reach AI Networked Systems, • Develop and execute test plans for high-speed optical transceivers across the full product lifecycle (prototype, validation, production)., • Perform electrical and optical characterisation of transceivers, specifically in burst-mode Tx/Rx testing., • Analyse test data to identify performance margins, failure modes, and opportunities for design/manufacturing improvements., • Optimise receiver performance through equalisation tuning (CTLE, DFE, FFE) and characterise link margins., • Design and execute automated test and characterisation routines for prototypes and NPI systems., • Analyse and optimise system-level performance across electrical and optical domains. Candidates should be collaborative, analytical, and hands-on approach to solving complex engineering challenges Skills / Knowledge Required: Senior Optical Engineer / Hardware Validation Engineer • MSc or PhD degree in optical communications, photonics, physics, electronics engineering or other relevant areas, • Proven experience working in industry on similar high-speed electronics/ transceivers / optical modules (e.g. >50 Ghz : >10Gbps), • Strong background in optical / photonic or high-speed electronic system integration, testing, validation, or integration., • Understanding of signal integrity, high-speed PCB design considerations, and packaging impacts on performance., • Experience with fibre-optic communication systems testing (OLT, ONT, PON) and integration., • Expertise in burst-mode transceiver characterisation., • Solid understanding of equalisation techniques (CTLE, FFE, DFE) for improving high-speed link performance., • Proficiency in using high-speed measurement instruments (e.g., sampling oscilloscopes, BERTs, burst-mode analysers)., • Familiarity with optical components (lasers, photodiodes, burst-mode APDs/TIAs, modulators) and transceiver architectures. Others (beneficial): • Strong hands-on experience in optical / photonic communication systems development and testing, ideally at 100Gbps and above., • Experience with automated test systems and scripting (e.g., Python, Matlab, C++, C#)., • A strong and demonstrable interest in sustainable technologies, AI, ML and / or HPC would be preferred. This is a great opportunity to join a highly technical team driving innovation in next-generation AI / ML networking hardware. The Senior Optical Engineer opening is based in central London (hybrid). Assistance can be granted to obtain working visas.

Senior Commissioning Engineer – Battery Energy Storage (Contract) Location: UK-wide (site-based travel required) Contract: Freelance / Contract ONLY Edison Smart are seeking senior-level Commissioning Engineers with proven expertise in Battery Energy Storage Systems. You’ll lead commissioning on grid-scale projects across the UK, ensuring systems are delivered, tested, and handed over on time and to specification. What do we need from you? • Lead commissioning of utility-scale BESS, including LV/MV equipment, inverters, transformers, and switchgear., • Execute FAT/SAT, protection testing, and functional validation of systems., • Troubleshoot BMS, SCADA, PLCs, and communication networks., • Ensure compliance with BS 7671, G99/G100, and site safety protocols., • Produce commissioning documentation and client handover packages. Requirements: • 5+ years’ commissioning experience on BESS or comparable large-scale power systems., • Strong knowledge of HV/LV electrical distribution, grid codes, and protection schemes., • Experience with SCADA/BMS integration and industrial communication protocols., • HV Authorised Person and 18th Edition highly desirable., • Flexibility to travel nationwide, CSCS/ECS required. What's in it for you? • Continuous pipeline of LONG TERM projects across the UK., • Work with leading developers, EPCs, and OEMs on cutting-edge energy storage projects.

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. Working closely with the portfolio manager, researchers and engineers, you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications • 5–10 years’ experience in data engineering or related roles, • Proven background at a leading finance or big tech firm, • Strong hands-on expertise in Python and modern ETL frameworks, • Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake), • Deep understanding of data modelling, validation, and pipeline resilience, • Familiarity with financial or alternative datasets preferred

Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build • £600-700 p/d (Outside IR35), • 5-month initial contract (extensions likely), • Hybrid: London (2 days/week on-site) The Role Join a newly formed Cloud Platform Engineering team building a greenfield Azure platform for a regulated banking venture. As Tech Lead, you’ll drive technical delivery across a team of ten engineers, staying hands-on while setting the standard for Infrastructure-as-Code, DevOps, and platform engineering. You’ll work at the intersection of architecture and delivery, ensuring solutions are built securely, efficiently, and to a consistently high standard. This is a hands-on technical leadership role, not a people management one. What They’re Looking For (Non-Negotiables) • Tech Lead / Principal Engineer experience on large-scale Azure platform builds, • Azure Cloud expertise (enterprise-scale landing zones, networking, security, governance), • Expert-level Terraform for modular, composable infrastructure-as-code, • Hands-on experience with Kubernetes in production environments, • Delivery leadership in DevOps-driven teams using GitHub Actions / Azure DevOps, • Proven ability to mentor engineers and embed technical standards, • Strong grasp of Kanban / continuous-delivery workflows What You’ll Work With • Azure Cloud: CAF enterprise-scale architecture, policy automation, governance, • Terraform: Modular provisioning, testing, and deployment patterns, • Kubernetes: Workload orchestration and container management, • CI/CD: GitHub Actions or Azure DevOps pipelines with end-to-end automation, • Event-Driven Architecture: Kafka or similar messaging systems, • Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc., • Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves • Experience in regulated environments (banking, fintech, healthcare), • Background in Site Reliability Engineering or DevOps transformation, • Exposure to FinOps / cost optimisation, • Familiarity with Azure Enterprise Scale Landing Zones Accelerators, • Microsoft certifications (AZ-400 / AZ-305 or equivalent) Why Join / Projects This is your chance to shape a greenfield banking platform from day one, defining the standards, practices, and automation that will underpin a regulated enterprise cloud You’ll have genuine technical ownership, influence how a modern engineering culture takes root, and see your work directly impact a mission-critical delivery. (Option to extend or convert to permanent after initial term.) Tech Lead | Azure, Terraform, Kubernetes | Bank-Grade Cloud Platform Build

ROLE DESCRIPTION: Engineer- Beauty The Company The Outform Group is an award-winning global innovation agency. We partner with some of the best-known brands and retailers worldwide to transform customer experience through insight, technology, and creativity. Our dream is to be revered as the agency shaping the Future of Retail, and in EMEA and we have ambitious plans for growth. The Opportunity We are looking for an accomplished Engineer to join our team and share our spirit – Dare to Innovate. We have a strong entrepreneurial ambition, and our people must be proactive and agile collaborators. The Role The Engineer is responsible for designing, developing, and implementing engineering solutions that enhance the functionality, aesthetics, and efficiency of Beauty retail environments. This role bridges the gap between design and production engineering, ensuring that retail spaces meet operational, technical, and customer experience standards. Job Title: Engineer- Beauty Reporting to: Producer- Beauty Location: London UK Hours of Work: 9am – 5.30pm 37.5 hours per week. Key Responsibilities Design & Development: Create and refine innovative engineering designs for retail fixtures, product layouts and systems Collaborate to integrate engineering solutions into retail concepts. Ensure compliance with safety regulations, retailer and brand standards. Project Management: Lead and coordinate technical engineering aspects of retail store rollouts. Coordinate with internal teams to ensure timely and cost-effective execution. Conduct site assessments and provide engineering input during planning phases. Technical Support: Provide ongoing support for retail systems including POS, networking, and environmental controls. Troubleshoot and resolve technical issues related to store infrastructure and equipment. Assist in testing and validation of new technologies and systems. Innovation & Optimization: Research and implement sustainable and energy-efficient engineering solutions. Develop scalable solutions for multi-location retail environments. Key Skills and Experience Proven 2D and 3D engineering experience within the Retail design Beauty industry. Proficient in SolidWorks and PDM processes. Strong understanding of materials and production processes. Abillity to validate, translate and interpret client briefs into tangible and considered engineering solutions Prioritization of engineering requests to increase speed to market and maintain efficiency within the manufacturing facility Demonstrated ability to lead and execute complex, cross-functional projects from start to finish. Strong understanding of engineering methodologies, tools, and best practices. Excellent communication, relationship-building, and stakeholder management skills. Ability to work collaboratively in a cross-functional, matrix environment. Proficient in project management software (e.g., Monday.com), CRM (e.g., Sugar CRM), and Microsoft Office Suite. Analytical and problem-solving skills, with a keen attention to detail. Ability to multitask and prioritize in a fast-paced, dynamic environment. Proactive, self-motivated, and solution-oriented approach Salary: TBC depending on background and experience Benefits: 5% company pension contribution, Private healthcare and Medicash plan, DIS insurance, 27 days holiday

Software Engineer- London BioOrbit is pioneering space-based drug manufacturing. We use microgravity to grow high-quality protein crystals, enabling easier, at-home injectable therapies. As part of our recent success we are looking to grow our team. Position Overview We are seeking an experienced Software Engineer with specialized expertise in payload software development to create autonomous control systems for revolutionary in-orbit pharmaceutical manufacturing platforms. This role focuses on developing mission-critical flight software that must operate reliably in the harsh space environment while controlling precise pharmaceutical manufacturing processes in microgravity. You will be responsible for designing and implementing sophisticated software architectures that enable autonomous pharmaceutical production, real-time process monitoring, and fail-safe operation throughout all mission phases. This position offers the extraordinary opportunity to pioneer flight software for an entirely new industry—space-based pharmaceutical manufacturing—where software reliability, autonomous operation, and precision control are essential for producing life-saving medications beyond Earth. Key Responsibilities • Design and develop flight-qualified payload software for autonomous pharmaceutical manufacturing systems, including process control algorithms, data acquisition systems, and real-time monitoring capabilities for microgravity operations., • Lead software integration and comprehensive testing of payload systems, including hardware-in-the-loop testing, software verification/validation, and flight software qualification according to space industry standards., • Implement robust software architectures with fault tolerance, autonomous recovery capabilities, and fail-safe mechanisms to ensure reliable pharmaceutical production in space environments., • Develop ground support software and user interfaces for mission planning, payload operations, and real-time system monitoring during space missions., • Oversee software deployment and maintenance across development and production environments, implementing DevOps practices, version control systems, and automated deployment pipelines., • Provide comprehensive user support and system optimization, including troubleshooting, performance monitoring, and proactive maintenance of critical systems., • Lead digital transformation initiatives, evaluating and implementing new technologies, software platforms, and IT solutions to enhance operational efficiency., • Create and maintain technical documentation for both payload software systems and IT infrastructure, including software requirements, system architectures, and operational procedures., • Drive technical collaboration across engineering teams through code reviews, system integration meetings, and technical presentations to stakeholders and senior management. Technical Skills + Core Competencies • Proficiency in embedded programming languages (Python, C/C++, MATLAB) and space payload development frameworks with extensive real-time system experience., • Expertise in payload software development, including embedded systems programming, real-time operating systems (RTOS), and flight software architecture patterns for mission-critical applications., • Comprehensive knowledge of software verification and validation processes for space applications, including unit testing, integration testing, formal verification methods, and software quality assurance., • Working knowledge of ECSS standards for space software development (ECSS-E-ST-40C, ECSS-Q-ST-80C) and space software qualification processes., • Advanced experience with spacecraft communication protocols, telemetry/telecommand systems, and space-to-ground data interfaces for mission operations., • Strong background in autonomous control systems, including machine learning algorithms, adaptive control theory, and decision-making frameworks for space applications., • Expertise in pharmaceutical process control software, including batch control systems, process monitoring algorithms, and quality assurance automation preferred., • Proficiency in software simulation and modeling tools for testing flight software in simulated space environments and pharmaceutical process validation., • Experience with safety-critical software development, including hazard analysis, software safety requirements, and fault-tolerant software design patterns., • Advanced debugging and diagnostic capabilities for complex embedded systems with experience in hardware-software integration and troubleshooting., • Strong project management skills with experience leading flight software development projects from requirements through mission operations., • Excellent technical communication abilities with experience presenting complex software architectures to multidisciplinary engineering teams and mission stakeholders. Required Qualifications • Bachelor's degree in Software Engineering, Computer Science, Electrical Engineering, or related field., • 3-5 years of experience in software development, payload systems, or related technical role., • Experience with embedded software development and IT system management projects., • Preference for candidates with space systems or satellite payload software experience., • Knowledge of ECSS standards (ECSS-E-ST-40C, ECSS-Q-ST-80C) preferred This is an exciting opportunity to join a team that is at the forefront of innovation and pushing the boundaries of in space manufacturing. If you feel this role is of interest, please apply and one of the team from Innoforge will be in touch. Unfortunately, sponsorship cannot be provided for this position

Electronics Engineer Hours: 35 hours per week Location: Central London (at least 2 days per week, including Wednesdays), with remote working for the remainder (subject to change depending on business needs). About the Role We are seeking an Electronics Engineer to join a dynamic health technology team developing innovative, non-invasive sensor systems for advanced medical applications. The work focuses on creating scalable and accessible solutions that improve early detection, reduce healthcare costs, and enhance patient outcomes. As a key member of the hardware team, you will take ownership of hands-on hardware development, with an emphasis on analogue and mixed-signal design. Your responsibilities will range from troubleshooting and refining circuits to running experiments that inform algorithm development. You will also support preparation for regulatory testing, maintain lab hardware, and contribute to long-term technology roadmaps. Technical Highlights • Low-noise analogue front-end design for capacitive sensing applications, • Precision small signal routing and conditioning (filters, amplifiers, multiplexers), • High-speed ADC/DAC integration and mixed-signal circuit optimisation, • Schematic capture, PCB layout, BOM management (Altium Designer), • Circuit modelling and simulation (SPICE, MATLAB, or similar tools), • Designing to meet IEC 60601 and related medical device standards, within an ISO 13485 compliant QMS Key Responsibilities • Lead hardware development activities from ideation and prototyping to optimisation and maintenance, • Plan and conduct benchtop experiments in collaboration with algorithms and clinical teams, • Manage and maintain prototype hardware for studies and trials, ensuring reliability and identifying design improvements, • Support verification, validation, and compliance testing with regulatory partners, • Contribute to design reviews, documentation, and alignment with quality management processes, • Provide technical input into long-term technology roadmaps to shape future biosensing devices Requirements Essential • Master’s degree in Electrical/Electronic Engineering or related discipline, OR 3+ years’ experience in a highly regulated industry, • Strong knowledge of analogue circuit design, including low-noise front ends, filters, amplifiers, and signal conditioning, • Proven experience with schematic capture and PCB layout using industry-standard design software, • Proficiency with test and measurement equipment (oscilloscopes, VNAs, spectrum analysers, waveform generators, etc.), • Excellent documentation and reporting skills (Office 365, Atlassian suite), • Experience with design control processes: requirements capture, verification, traceability, and documentation, • FPGA experience and associated design considerations, • Python skills for data processing and test automation, • Background in medical device development, • Experience with biosensors or low-amplitude analogue acquisition systems (impedance, ECG/EEG, oximetry, etc.), • Basic knowledge of mechanical considerations in electronics design (thermal management, enclosures, connectors, etc.), • Familiarity with FEM simulations of electromagnetics, • Embedded code development and GitHub/Bitbucket for source control, • Share options, • Private medical and dental cover, • 5% employer pension contribution, • Life and health insurance, • Lunch allowance when working onsite, • Flexible working model (2 days/week onsite, remote at company discretion), • 25 days annual leave, • Bonus scheme (subject to milestones and policies) How We Work The team is a close-knit group of scientists and engineers who value solving complex problems and seeing them through to impact. Everyone has the opportunity to shape both the technology and the culture, with a strong emphasis on accountability, collaboration, and transparent communication. Growth comes through meaningful work, shared learning, and open knowledge exchange. If you want to contribute to technology that makes a real difference while working alongside passionate peers, this could be the role for you.

Product Development & Applications Technician Location: Kent, UK (Primarily office-based with UK-wide travel) Employment Type: Full-Time Industry: Automotive / Vehicle Electronics / Engineering Overview A leading engineering organisation within the vehicle safety and automotive technology sector is looking for a Product Development & Applications Technician to join their expanding technical team. This is a fantastic opportunity for a hands-on technician or engineer from an automotive background (ideally with HGV experience), who enjoys working on real-world product applications, installations, and field testing. The successful candidate will support the development and testing of cutting-edge electronic safety products, with a particular focus on how these systems are installed and integrated into vehicles across a wide range of commercial applications. The Role Working closely with product development teams, the technician will provide practical input to the design, testing, and application of new vehicle safety technologies. You’ll play a key part in improving product integration and installation processes, helping reduce time and cost for end users while enhancing performance and reliability. Although the role is primarily office/workshop-based, it involves regular UK site visits, including trials on customer vehicles and testing in real-world environments. Key Responsibilities • Conduct technical product testing, evaluation, verification, and validation., • Provide expert input on vehicle integration and practical installation challenges., • Lead or support installation and configuration of systems on vehicles during development trials., • Recommend product or documentation improvements to enhance real-world usability., • Collaborate with internal teams and external partners to deliver robust application solutions. Key Tasks • Benchmarking, teardown, and analysis of vehicle safety systems., • Troubleshooting and diagnosis of system issues in both lab and vehicle environments., • Electrical and mechanical prototyping and modifications., • Participate in engineering reviews and project meetings., • Deliver technical support and training both remotely and in-person. Candidate Requirements • Proven experience working hands-on with vehicle electrical systems, ideally HGV or commercial vehicles., • Confident in installation and fault-finding of automotive electronics., • Basic understanding of analogue/digital circuits and communication protocols., • Familiarity with diagnostic tools and standard workshop equipment., • Proficient in Microsoft 365 and common desktop applications., • Self-motivated, detail-focused and practical, with strong problem-solving skills., • Willingness to travel across the UK and work flexibly when needed., • Excellent communication skills – both verbal and written., • Full UK driving licence required.

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role • Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems., • Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources., • Collaborate with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data., • Contribute to the evolution of modern cloud-based data infrastructure, working with tools such as Airflow, Kafka, Spark, and AWS., • Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets., • Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile • 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment., • Strong programming ability in Python (including libraries such as pandas and NumPy) and proficiency with SQL., • Confident working with ETL frameworks, data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS)., • Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech., • STEM degree in Mathematics, Physics, Computer Science, Engineering, or a related field., • Demonstrates curiosity, attention to detail, and a pragmatic, problem-solving mindset., • Enjoys collaborating across technical and non-technical teams in fast-paced, high-performance settings. Why This Opportunity? • Work at the intersection of data, technology, and finance, where clean engineering directly impacts business performance., • Gain exposure to cutting-edge data stacks and high-availability systems., • Collaborate with world-class technologists and quantitative researchers., • Structured progression — clear visibility into senior engineering or platform leadership paths., • Competitive compensation with bonus upside and exceptional learning curve.

The Senior Mechanical Design Engineer will be part of a multi-disciplinary team working on exciting defence and maritime projects. The Mechanical Engineering function is responsible for the design, development, test, and documentation of mechanical assemblies for products, which includes new development, change orders, process improvements, and documentation. The Senior Mechanical Design Engineer will support designs throughout the concept, development and production stages of the system life cycle. Responsibilities: • Supporting the definition of Mechanical architecture, system and sub-system requirements and their validation and verification., • Support to developing, documenting and delivering viable mechanical solutions for complex systems using the company engineering toolsets., • Creation and peer review of technical artefacts, including mechanical design documentation, design data packs, analysis, plans and procedures in accordance with our product development framework., • Development of the project mechanical test solution, and test procedures to support the verification of the hardware., • Supporting the mechanical integration, verification and acceptance testing collecting and presenting evidence as necessary., • Prepare and present mechanical technical solutions and risks to stakeholders (internal and external), • Provision of in-service and production support to internal and external customers, • May act in technical led role on specific projects or activities., • Support the continuous improvement of the Mechanical Engineering function, including processes and tools., • Adhere to the company's mechanical engineering processes and procedures., • Coaching and mentoring of more junior Engineers; Experience needed: • Educated to Degree level or equivalent experience, • Experience across the whole project lifecycle of developing mechanical solutions against design brief/requirements set., • Experience in mechanical design and documentation using MCAD, MCAE, PLM and ERP toolsets (Solidworks, Creo, Autodesk Inventor, Windchill, IFS or similar), • A good understanding of key mechanical engineering principles e.g. material selection, assembly techniques and manufacturing processes., • Hands-on experience of designing complex systems involving multiple engineering disciplines and understanding of associated challenges and risks., • Successful delivery of reliable solutions to timescale and requirements. Desired • Experience of designing products in the Defence domain (preferably Maritime)., • Experience of using mechanical design analysis techniques and toolsets to evaluate different potential solutions e.g. trade-studies, calculations, modelling and simulation., • A team-oriented individual that works collaboratively to achieve team goals., • Strong communication skills; positive attitude., • Ability to effectively prioritise and execute tasks in a deadline-oriented environment. Working: • The role is office/hybrid based with occasional travel to other company sites in the UK. Office site presence, anticipated 2/3 days onsite, depending on project needs., • All applicants must be able to obtain Security Clearance and be a sole / dual British national. Company overview: • Want to work for a successful business, who develop advanced specialist systems to deliver warfighting edge in the modern maritime and underwater battlespace?, • Optional 9 day fortnight, • TOIL, • Flexible working hours, • 1pm finish on a Friday, • Annual bonus, • Casual dress, • 25 days holiday, • Christmas shut down., • Option to buy or sell holiday., • Option to purchase private health care, dental, critical illness etc via salary sacrifice., • Reward hub - discounts at over 200 online stores, • 4 x annual salary life cover

Ready to engineer precision in the world of biotech? Join our client's cutting-edge team and play a vital role in developing the instrumentation that powers tomorrow's breakthroughs. Hobson Prior is seeking a QC Validation Manager to join a dynamic team on a 12-month fixed-term contract. In this role, you will oversee the validation and transfer of testing methods for gene therapy products, ensuring compliance with EU and FDA GMP standards. You will also manage the lifecycle of analytical methods, equipment, and materials while supporting both Irish and UK sites. Occasional travel to the Irish site will be required. This position can either be based in London with occasional travel to Ireland, or based in Shannon, Ireland with occasional travel to United Kingdom. Please note that to be considered for this role you must have the right to work in this location. Responsibilities: • Develop and validate new and existing testing methods for gene therapy products., • Act as the go-to expert for managing analytical methods, equipment, and materials., • Oversee projects related to test method implementation to meet deadlines for product launches., • Ensure all testing methods comply with regulatory and data integrity standards., • Manage external testing activities to ensure they meet GMP requirements., • Provide training on new technologies and methods introduced to the facility., • Regularly assess analytical methods to ensure they are effective and compliant., • Maintain and update quality management systems and documentation., • Track and achieve key performance indicators (KPIs) and project objectives., • Ensure timely and compliant completion of team training and GMP documentation. Key Skills and Requirements: • A degree in a health or science-related field, or equivalent experience in a regulated industry., • Strong background in validation within the pharmaceutical or similar regulated sector., • Experience managing a team and delivering projects on time., • Knowledge of EU and FDA regulations, GMP, and other relevant compliance standards., • Ability to handle multiple projects simultaneously in a fast-paced environment., • Familiarity with lean manufacturing, Six Sigma, or similar methodologies is a plus. For more information, please contact Billy O'Brien. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists visit the 'Contact Us' page. Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - .

Senior / Principal Systems Engineer • £45,000 - £85,000 + excellent bens, • Bristol, London, Manchester, Reading (Hybrid) Join us as a Senior / Principal Systems Engineering Consultant in Aerospace, Defence, Security and Technology (ADS&T). You'll lead teams that use Systems Thinking to analyse, assess and develop solutions to their most complex challenges. Underpinned by a Model Based Systems Engineering (MBSE) ethos, you will help our clients unlock their full potential to innovate. We have a huge variety of projects, ranging from niche consultancy projects to large, high-profile programmes. So, you'll always be able to keep yourself challenged. Your Purpose: Senior / Principal Systems Engineer • Provide consultancy to client project and engineering managers., • Lead the use of best practice techniques and tools on client and internal projects., • Champion a Model Based Systems Engineering (MBSE) approach to solving client issues., • Develop and implement strategies to achieve successful client decision milestones., • Deliver identified engineering outputs within time, cost, and quality constraints as part of an engineering service to a client., • Proactively identify opportunities and contribute to ADS&T growth., • Contribute to the development of our people through mentoring and coaching. What can you bring: Senior / Principal Systems Engineer • The use of MBSE approaches and tools (e.g. Sparx EA, Cameo)., • Knowledge of modelling languages and architecture frameworks, e.g., UML/SysML, ArchiMate, TOGAF, MODAF., • Requirements engineering and its link to verification and validation., • Knowledge of engineering lifecycles, their selection, tailoring and implementation., • Working on the integration of complex systems, including military civilian platforms (submarines, aircraft, ships, and vehicles), civilian aircraft systems and advanced power and energy systems., • Applying systems engineering processes (e.g., ISO 15288:2023) across the lifecycle., • Managing projects and teams within different development methods. Understanding of engineering within the MOD’s acquisition framework, Knowledge in Defence (KiD)

Job Title: Oracle PLM Service Engineer Location: Hybrid in London (2-3 days) Employment Type: 6 month FTC Salary: Competitive Start Date: Immediate Industry: Enterprise MSP An established consultancy delivering large-scale Oracle Cloud ERP & SCM solutions is seeking an experienced Oracle PLM Service Engineer to support and enhance their Oracle Cloud Product Lifecycle Management (PLM) environment - primarily across Product Development (PD) and Product Data Hub (PDH) modules. This is a hands-on production support role for someone who understands both PLM business processes and the technical configurations behind them. You’ll handle everything from L1 support and issue triage to patch testing, API integrations, and post-production support. Oracle PLM Service Engineer – Key Responsibilities • Provide L1 production support for Oracle Cloud PLM – Product Development (PD) and Product Data Hub (PDH), • Perform root cause analysis for recurring issues and incidents, • Configure and maintain Oracle PLM components and handle customizations, • Conduct API integration testing and support system connectivity across modules, • Manage Agile data migration activities and troubleshoot related issues, • Deliver post-production support / hypercare services after deployments, • Create and maintain custom reports using Oracle tools, • Perform quarterly configuration reviews, patch validations, and testing, • Prioritize and manage support tickets and enhancement requests, • Collaborate with cross-functional teams (IT, Product, and Business) to ensure smooth PLM operations Oracle PLM Service Engineer – Key Skills Required • 5+ years’ experience supporting Oracle Cloud PLM solutions, • Solid understanding of Product Lifecycle Management principles, • Hands-on experience with Oracle PDH configurations and customizations, • Working knowledge of API integration and testing methodologies, • Experience building or maintaining custom Oracle reports, • Background in Agile data migration and related tools/processes, • Strong skills in system validation, patch testing, and issue resolution, • Analytical mindset with excellent troubleshooting skills, • Strong communication abilities — comfortable working with both technical and business teams Please apply now if this role is of interest.

Join a global leader in advanced defence technology, developing mission-critical systems that protect and empower naval forces across the world. Our client designs and delivers cutting-edge electronic and sensing solutions that support the most demanding maritime environments, from surface vessels to underwater platforms and autonomous systems. This is an exciting opportunity to take on technical leadership within a multi-disciplinary engineering team, shaping the future of naval electronics and next-generation mission systems. Location: Southeast or Southwest England Working Model: Hybrid / Flexible / 9-Day Fortnight Options Available Salary: Competitive + Bonus + Excellent Benefits The Role As a Senior Electronics Engineer, you’ll play a key role in the design, development, and delivery of complex electronic systems used in advanced defence applications. You’ll work across the full engineering lifecycle from concept and prototyping through to verification, test, and production handover, ensuring each solution meets the highest technical and safety standards. Key Responsibilities: • Lead the design and development of analogue, digital, and mixed-signal electronic circuits., • Define technical requirements, specifications, and validation plans., • Conduct detailed design reviews, analysis, and testing., • Mentor and guide junior engineers, supporting knowledge transfer and technical excellence., • Collaborate closely with systems, software, and mechanical engineers to deliver integrated solutions., • Contribute to continuous improvement in design processes and best practices., • Ensure compliance with safety, environmental, and defence standards. About You You’ll be an experienced electronics engineer with strong technical depth, ideally gained in defence, aerospace, or other complex engineering environments. You’ll be comfortable taking technical ownership and influencing design decisions. Essential Skills & Experience: • Degree (or equivalent) in Electronics, Electrical Engineering, or a related discipline., • Proven experience in the design and development of electronic hardware., • Strong understanding of circuit design, schematic capture, PCB layout, and test., • Experience with EMC design, environmental testing, or design for manufacture (DFM) is advantageous., • Excellent communication and stakeholder engagement skills., • Eligible to obtain UK Security Clearance (SC). What’s on Offer • Optional 9-day fortnight – every other Friday off!, • Flexible working hours and hybrid arrangements., • Time Off in Lieu (TOIL) up to 1 day per month., • Early finish Fridays (1pm)., • Annual bonus and performance incentives., • 25 days annual leave + Christmas shutdown., • Buy or sell holiday scheme., • Private healthcare, dental, and critical illness options., • Discount hub – access to 200+ retailers., • 4x life cover and a market-leading pension (5% employer minimum)., • Relocation support available for exceptional candidates. Why Join You’ll be part of a forward-thinking organisation that values innovation, collaboration, and engineering excellence. The business is known for its supportive culture, flexible approach to working, and commitment to developing its people. They also take pride in being an inclusive and diverse employer, encouraging applications from all backgrounds, and fostering a culture where everyone can thrive and be their authentic self. Apply Today If you’re a Senior Electronics Engineer ready to contribute to the next generation of defence technology, we want to hear from you. Join a company where your work truly makes a difference — safeguarding the seas and advancing naval capability worldwide.

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang experience and with some experience of TypeScript and React frontend development. If you also have a knack for Kubernetes/containerisation, that's a significant bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. All positions at Safe Intelligence are 3/4 days a week in the in our London office. We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Contribute significantly to software development on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must haves: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-haves: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Front End Software Engineer to join our team! We're particularly looking for someone with strong front end engineering and Typescript experience and with some experience of backend development (ideally in Golang). In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with 3-4 days / week in the office in London (Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Front End Software Engineer, you will: • Make key contributions to software development on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Develop simple and intuitive UI to enable workflows around testing and validating Machine Learning systems with an eye to scalability, and asynchronous interactions., • Interface with Golang-based cloud backend systems, focusing on API interactions and integration., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Requirements: The technical requirements for the role are: Must have • Strong proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Solid performance and security knowledge: profiling, memoization, code-splitting, tree-shaking, bundle analysis, Core Web Vitals, OAuth2/OIDC, JWT handling, CSRF/XSS mitigation, CSP/SRI, dependency hygiene., • Proven experience interacting with and co-designing production-grade RESTful APIs ideally with an API-first approach., • Strong knowledge of frontend polling and other async interactions patterns such as: polling/SSE/WebSockets for long-running tasks, optimistic updates, progress states, idempotent actions., • Proficiency in integration, component and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice to have • Some experience in backend system development (ideally using Golang). This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

#OneTeam In the Enterprise Product Growth team, the Sales Specialist is responsible for selling solutions in one of the following specific domains: Bare Metal. The Sales Specialist drives the adoption of existing and new products, plays a pivotal role at the intersection of sales, product, and customer success. The main mission is to accelerate revenue growth by enabling the broader sales organization, supporting complex deals, and acting as a feedback conduit to the product team for continuous improvement and innovation. Your main responsabilities • Being able to sell OVHcloud Private Cloud Bare Metal to all our Enterprise customers., • Identify, qualify, and pursue high-potential opportunities for new/important products within existing accounts and new prospects., • Being able to handle the complete sales cycle from the first discovery meetings to the closing with the customer., • Work in very close cooperation with the account team, the partner account team and the pre-sales team or solutions architect if needed., • Manage and maintain a robust and accurate pipeline and forecast., • Gather and synthesize customer feedback, objections, and use cases to refine messaging and improve product-market fit., • Serve as the "voice of the customer" to the product organization (CPTO), relaying actionable feedback, feature requests, and market insights., • Participate in product roadmap discussions, helping to prioritize enhancements and influence development based on real-world customer needs., • Share qualitative insights to help product teams validate and iterate on new features., • Ensure alignment between sales goals and product capabilities, setting realistic expectations with customers and internal stakeholders., • Organize Sales campaigns for up & cross-sell on existing customers base but also on prospects base., • Help product teams understand the competitive landscape and evolving customer requirements, contributing to a customer-centric innovation process., • Work closely with our Tech partners, by building sales development action plan (prospects & customers to target, common event and animation), develop and follow common pipeline. Your future impact In 6 months, you will have achieved • Perfect knowledge of our Bare Metal solutions and act as subject-matter expert, • Identify, qualify, and pursue high-potential opportunities on prospects (on an incoming lead), • Support account management teams on “your” products. Lead or support customer engagements, including discovery calls, needs assessments, product demonstrations, and solution validation for new offerings., • Identification of all the key stakeholders (Sales, Product Manager, Product Marketing…) on “your” Bare Metal product., • Be able to enable the Sales broader sales organization, supporting complex deals, and acting as a feedback conduit to the product team for continuous improvement and innovation In 1 year, you will have mastered • Create customer trust, able to build a complete offer for the customer, • Partner with account teams to define target segments, create go-to-market strategies, and execute focused sales campaigns., • Define and follow the success’s KPI and OKR on “your” product (in line with budget), • Track pipeline, forecast sales, and ensure targets for your product line are met or exceeded., • Know the market and ecosystem (go to market & segmentation) + know the OVHcloud’s ecosystem including Partner Program Profile • At least 5 years of experience in a similar role, • Engineer profile with strong technical background, • Deep technical and commercial understanding of cloud products (especially OVHcloud Bare Metal Servers), • Deep and extensive knowledge of the solution market positioning, the competitors, and the entire eco-system, • Excellent communication, presentation, and relationship-building skills., • Ability to translate customer needs into product requirements and articulate value propositions, • Proven track record in sales, especially with new or complex solutions, • Team working with all parties involved on a specific deal, • Able to work in a multi-cultural and fast paced environment, • Fluent in French & English

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement, combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities • Design, build, and deploy machine learning models and AI-driven solutions to address business challenges., • Collaborate with data scientists to transition prototypes into production-ready systems., • Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment., • Optimise model performance, scalability, and reliability using MLOps best practices., • Work with large-scale structured and unstructured datasets for model training and validation., • Implement model monitoring, versioning, and retraining processes to ensure continuous improvement., • Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments., • Proven experience (3–5+ years) as a Machine Learning Engineer, Data Scientist, or similar role., • Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy)., • Solid understanding of machine learning algorithms, statistical modelling, and deep learning architectures., • Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)., • Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms., • Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration., • Knowledge of containerization and orchestration tools (Docker, Kubernetes)., • Experience integrating ML models into production environments via APIs or microservices., • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field., • Familiarity with CI/CD pipelines for ML model deployment., • Exposure to natural language processing (NLP), computer vision, or reinforcement learning projects., • Location: Hybrid – London (onsite 2–3 days per week), • Type: Day-rate contract (Outside/Inside IR35 subject to assessment), • Duration: 6–12 months (extension likely), • Work with a talented, cross-functional AI and data engineering team., • Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment., • Hybrid flexibility with a strong London presence.

About the venture I’m working on a new SaaS platform in the investment/finance space. The market is large, underserved, and ripe for disruption. The product is already scoped at MVP stage with clear validation from potential users, and there’s a strong route to funding once we launch. This is an equity-only co-founder role until funding is secured. The expectation is a meaningful equity stake (10–25% depending on fit) and the opportunity to step into a CTO-level position as the company grows. The role You’ll take full ownership of the product build: from MVP to scalable SaaS platform. Expect to: • Build core dashboards and update automation tools, • Develop APIs and integrations for founder–investor workflows, • Shape product architecture and technical roadmap, • Be a true co-founder: involved in strategy, vision, and execution What I’m looking for • Full-stack engineer (React/Next.js + Node.js/Python preferred), • Strong experience building and shipping MVPs or SaaS products, • Startup mindset: pragmatic, fast, and resourceful, • Are execution focused - we are at the point where we need to build, • Interest in fintech / venture capital tools a plus, • UK Based applicants only What’s on offer • Equity co-founder role (10–25%, depending on fit and contribution), No salary until funding — ideal for someone with financial runway or moonlighting flexibility, • The chance to build a product from zero, with ownership over technology, • A role that can scale with you, • Market with strong tailwinds and clear monetisation strategy, with several clients already lined up Next steps

Chief Technology Officer (CTO) – AI-Driven FinTech Start-up Location: London (Flexible hybrid working) Compensation: Up to £150,000 + meaningful equity We’re working with an early-stage FinTech venture building a next-generation AI platform that empowers organisations to stay ahead of fast-moving external developments. Combining revolutionary technology with a unique approach to contextual insight, the platform helps clients identify emerging risks and opportunities in real time, translating complex signals into actionable intelligence tailored to their business. As they enter a critical phase, with upcoming client demos, MVP validation, and early implementations on the horizon, they're seeking a strategic, hands-on CTO to lead the company’s technical vision and execution. This is a founding leadership opportunity to shape the future of an industry-defining platform, influence product direction, build a high-calibre engineering team, and partner with global financial institutions. The Opportunity This isn’t just another CTO role. You will: • Architect and scale a highly intelligent, self-learning agentic platform capable of embedding human expertise and learning from usage patterns in real-time., • Build a system that interprets complex global data, links it to enterprise-specific exposures, and delivers contextualised recommendations., • Define a flexible architecture that can adapt to new domains and evolve with client needs., • Collaborate directly with clients, investors, and capital partners to ensure credibility, delivery, and long-term scale., • Translate PoC momentum into scalable, compliant, secure enterprise-grade deployments. What You’ll Do • Architect and build: Lead design and execution of a secure, scalable, cloud-native architecture. System is built in Python, using agentic LLM strategies (multi-agent RAG)., • Collaborate and innovate: Work closely with Chief AI Engineer and founders to define the product roadmap and push the boundaries of real-time predictive analytics., • Lead technical delivery: Own end-to-end delivery, from prototypes to client integrations, ensuring security, compliance, and enterprise readiness., • Bridge vision and execution: Translate product vision into an executable roadmap while maintaining the agility of a start-up., • Engage externally: Be the technical face of the company in client and investor meetings, articulating roadmap, vision, and scalability. What We’re Looking For ✔ Industry Knowledge • Deep experience in wholesale financial services or adjacent enterprise sectors., • A hands-on senior leader with prior experience taking a product from concept/MVP to live enterprise deployments., • Deep architectural and engineering background - ideally with hands-on full-stack experience in Python., • Strategic grasp of LLM systems (agent-based architectures, evaluation layers, human-in-the-loop designs), even if not an AI expert., • Inspiring, credible leader who can attract top engineering talent and collaborate with AI researchers., • Comfortable in client meetings and investor discussions, articulating complex tech in commercial terms., • Brings operational rigor and creativity - equally at home building from scratch and thinking about future extensions into new verticals. Tech Stack & Concepts • AI/LLM Strategy: Multi-agent RAG architecture, real-time model evaluation, adaptive agent coordination, • Enterprise Engineering: Data lake integration, secure APIs, compliance and regulatory alignment, • Product Focus: Real-time alerts, contextual event tracking, client-specific strategic insights Why Join? • Be a founding leader in a business with a genuinely differentiated product already gaining real client traction, • Shape the technical and strategic future of an AI-powered platform redefining enterprise decision-making, • Earn meaningful equity in a venture positioned for long-term impact across financial services and beyond If you’re a commercially-minded, deeply technical CTO with domain knowledge in financial services, and ready to lead a high-potential product from PoC to enterprise scale, we’d love to hear from you.

This research-centric fund leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. Fostering a collaborative and intellectually stimulating environment, they bring together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, their success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for quantitative research, strategy development, and automated trading systems. As a Data Engineer within the Quantitative Platform team, you'll play a pivotal role in building and maintaining the data infrastructure that fuels research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets - including market, fundamental, and alternative sources - ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment. Responsibilities: • Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet the stringent requirements for research and live trading., • Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by automated trading systems., • Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of quantitative strategies., • Providing expert operational support for the data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering daily trading activities., • 5+ years' experience building ETL/ELT pipelines using Python and pandas within a financial environment., • Strong knowledge of relational databases and SQL., • Familiarity with various technologies, such as S3, Kafka, Airflow, Iceberg., • Proficiency working with large financial datasets from various vendors., • A commitment to engineering excellence and pragmatic technology solutions., • A desire to work in an operational role at the heart of a dynamic data-centric enterprise., • Strong understanding of financial markets., • Experience working with hierarchical reference data models., • Proven expertise in handling high-throughput, real-time market data streams., • Familiarity with distributed computing frameworks such as Apache Spark., • Operational experience supporting real-time systems. Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

£55000 GBP Hybrid WORKING Location: Chelmsford, Central London, Greater London - United Kingdom Type: Permanent Job Title: RF Systems Engineer Location: Great Baddow, Essex Salary: Up to £55K + benefits Clearance Requirement: Applicants must be British citizens and eligible to obtain UK SC security clearance We are seeking an experienced RF Systems Engineer to join a growing team focused on the development of advanced RF systems. This is an opportunity to work at the forefront of defence technology, shaping innovative solutions from concept through to demonstrator. The role will involve: • Designing RF system architectures, conducting trade-off studies, and balancing performance, cost, time, and risk, • Integrating multi-disciplinary elements, including antennas, RF components, DSP, firmware, and software, into cohesive solutions, • Supporting early-stage R&D (TRL2-4) through to advanced technology demonstrators (TRL5/6 and beyond), • Engaging with customers and stakeholders through technical presentations, roadmaps, and solution justifications, • Driving innovation through feasibility studies, proof-of-principle activities, and system prototypingWhat we're looking for:, • Strong background in RF systems engineering, ideally within radar or electronic warfare domains, • Knowledge of RF subsystems including antennas, front-end electronics, and signal processing chains, • Proven experience in system design, performance modelling, and trade-off analysis, • Track record of developing concepts into demonstrators or operational prototypes, • Excellent communication and stakeholder engagement skillsDesirable skills:, • Familiarity with EM, RF and DSP modelling tools, • Experience with radar or EW techniques and military threat environments, • Knowledge of system-level testing and validation, • Understanding of defence standards and systems engineering frameworks (DOORS, SysML, NAF)Qualifications:, • Degree in Electronic Engineering, Physics, Systems Engineering or related discipline, • Chartered Engineer status (or working towards it) desirableThis role offers the chance to work on cutting-edge RF technologies with a team of specialists driving forward innovative solutions. Occasional travel may be required to customer sites.

£48000 GBP Hybrid WORKING Location: Stevenage, Central London, Greater London - United Kingdom Type: Permanent Electronic Design Engineer Location: Stevenage (Hybrid - typically 2-3 days per week on-site) Salary: Up to £48,000 Are you an Electronics Design Engineer looking for a hands-on technical challenge within a leading defence engineering environment? We're seeking a skilled engineer to join an established electronic design team delivering high-integrity analogue and digital solutions across complex, safety-critical systems. The Role As an Analogue & Digital Design Engineer, you'll take ownership of board-level electronic design - from concept and schematic capture through prototyping, functional testing, and product proving. You'll collaborate across multidisciplinary teams to ensure seamless integration of electronics within wider systems, applying best-practice design and verification techniques to achieve exceptional product reliability and performance. Key Responsibilities • Lead schematic capture, circuit simulation, prototyping and test activities for electronic boards., • Apply design assurance techniques such as DFMEA and support through-life product validation and quality assurance., • Engage with internal engineering teams to ensure successful electronic integration within wider systems., • Contribute to ongoing R&D and continuous improvement initiatives across the electronic engineering function. Skills & Experience • Proven experience in analogue and/or digital electronic design., • Strong understanding of board-level design, test and integration., • Knowledge of a range of electronic technologies and components., • Ability to work effectively within multi-disciplinary engineering teams. What's on Offer • Competitive salary plus annual company bonus (up to £2,500)., • Excellent pension scheme (up to 14% total contribution)., • Flexible & dynamic working with options for additional flexi leave., • Fantastic on-site facilities including subsidised meals and free parking. Interested? Apply here directly or send you updated CV to quoting the below reference to discuss further. AMC/DBR/EDE/48

£75000 GBP Hybrid WORKING Location: Stevenage, Central London, Greater London - United Kingdom Type: Permanent Senior Software Engineer Location: Stevenage / Hertfordshire (Hybrid 3-5 Days Per Week Onsite) Job Type: Permanent Salary: Up to £75,000 depending on experience Overview An excellent opportunity has arisen for a Senior Software Engineer to join a market-leading defence organisation working on some of the UK's most advanced missile and weapon systems. This role sits within a dynamic and multi-disciplined team responsible for designing, developing and supporting the software that enables configuration, verification, and validation of product portfolio's. Spanning the full lifecycle from development through to production and field testing, this is a chance to contribute to mission-critical systems where your software directly impacts the certification, manufacturing output, and operational readiness of UK defence platforms. Key Responsibilities • Design, develop, and support test software solutions, • Collaborate with Electronic Engineering, Test Centre of Excellence, and Systems teams to deliver robust test capability, • Produce reliable, high-performance software in C, C++, or ADA with clear documentation and standards compliance, • Interpret a range of technical sources including engineering drawings, OEM data, and design safety justifications, • Contribute to technical verification and validation activities across operating and damage control documentation, • Solve complex technical problems that may extend beyond the bounds of software," engaging across hardware, simulation, and real-time systemsRequired Skills & Experience Essential: • Proven ability to write software in C++, • Strong analytical and design skills with experience in review and critical analysis, • Flexible, problem-solving mindset with a collaborative approach, • Background in software engineering or electronics with transferable skills to test solutions, • Ability to communicate effectively across multi-disciplinary teamsDesirable:, • Experience in defence, aerospace, or other safety-critical industries, • Knowledge of DevOps practices and innovative software development approaches, • Degree or equivalent qualification in a STEM disciplineIf you're an experienced Software Engineer with strong C++ skills and want to apply your expertise on some of the UK's most advanced defence programmes, this is a chance to take your career into new territories. Apply now or contact Declan Bryson at Anson McCade on 07529 161950, quoting reference AMC/DB/SSE/2.

Do you want to work on the cutting edge of blockchain analytics? Have you built and deployed ML models that solve real-world data problems? Are you ready to join a lean, senior team shaping the AI future of a global platform? A Series B, high-growth SaaS platform delivering institutional-grade blockchain analytics is hiring a Senior AI/ML Engineer. Often referred to as the Bloomberg for crypto, this company provides AI-powered insights to help clients discover opportunities, perform due diligence, and protect portfolios. They’re scaling their AI capabilities and need a hands-on engineer to design, implement, and integrate ML models directly into their product. Why join? You’ll be part of a senior, two-person AI/ML team, working on high-impact projects like large-scale wallet labelling, NFT rarity-based price estimation, and advanced trading signals. You’ll have the freedom to explore modern AI/LLM techniques, with the support of a company that values speed, transparency, and curiosity. Key Responsibilities: • Build and scale AI/ML models to process complex blockchain datasets, • Collaborate with engineering and product to embed models into the platform, • Apply the latest AI/LLM approaches to solve challenging problems, • Maintain high DS/ML standards (EDA, validation, tracking), • Mentor and guide best practices in AI/ML development Key Details: • Salary: $130–150k base (paid in GBP) + equity (4y vest, 1y cliff) + performance bonus, • Location: Fully remote, EMEA-friendly time zones, • Stack: Python, GCP, TensorFlow/PyTorch, LLM APIs, • Visa: Cannot sponsor Requirements: • 3–6+ years DS/ML experience, • Strong Python & applied ML skills; end-to-end ML lifecycle experience, • Familiarity with modern AI/LLM tools and eagerness to experiment, • Interest in crypto/blockchain (commercial experience a plus), • Startup/product-focused background preferred; consultancy-heavy backgrounds won't be a fit Interested? Please apply below.