Product design engineer jobs in SheffieldCrear alertas

About Inpart Inpart is the industry-leading provider of partnering technology solutions tailored to the biopharma realm. Serving most of the globe's top-tier pharmaceutical enterprises and emerging biotechs, our platform champions streamlined partnerships. Our unique strength is found in our diverse and international team, with over 35 nations represented. We are united by our core values: care, diversity, and excellence. Overview We are looking for a Senior Data Engineer to join the team that owns our core data product, the platforms and infrastructure that support it, and the data services consumed by our customers. You will work closely with other engineers, product stakeholders, and customers to design, build, and operate production-grade data systems, focusing on reliable ingestion, transformation, and exposure of data through APIs and product integrations. As a senior member of the team, you will be expected to help set technical standards, improve data quality and operational reliability, and contribute to shared ownership of systems from design through to reliable operation in production environments. What you’ll do • Design, build, and maintain data ingestion pipelines, • Develop and operate CDC and event-driven data pipelines where appropriate, • Own and evolve our Snowflake medallion architecture (Bronze / Silver / Gold), • Build and maintain dbt models, including macros and incremental transformations, • Create, manage, and optimise Airflow DAGs using AWS Managed Airflow (MWAA), • Implement data quality checks, validation, and alerting, • Ensure pipelines are resilient, observable, and recover cleanly from failure, • Contribute to Terraform-managed AWS infrastructure What we’re looking for • Proven experience designing, building, and operating production-grade data pipelines, • Hands-on experience with Snowflake, dbt, and Airflow, • A demonstrable understanding of data quality, observability, and operational reliability, • A collaborative mindset with a strong sense of ownership and accountability for systems used by customers Qualifications • Significant experience working as a Data Engineer in a production environment, • Experience owning data systems used directly by customer-facing products, • Experience working in an AWS-based data platform, • Experience contributing to infrastructure-as-code

Job Title: Mechanical Design Engineer Location: Sheffield Salary: £30,000 – £40,000 per annum Type: Permanent We are currently seeking a Mechanical Design Engineer to join a growing engineering team in Sheffield. This role offers the opportunity to work on a variety of industrial projects, taking designs from concept through to detailed engineering and manufacture. Key Responsibilities: • Design mechanical components, assemblies, and industrial machinery using SolidWorks., • Produce detailed 2D fabrication drawings and 3D models., • Design sheet metal components and welded fabrications to manufacturing standards., • Support projects from concept through to manufacture and delivery., • Liaise with fabrication and production teams to ensure designs are practical and cost-effective., • Generate BOMs and technical documentation., • Support prototype builds, testing, and design improvements. Skills & Experience Required: • Strong experience using SolidWorks (essential)., • Background in mechanical design within industrial machinery, fabrication, or similar environments., • Minimum 3 years’ experience in Mechanical Design., • Good understanding of manufacturing processes., • Strong attention to detail and problem-solving skills., • Ability to work independently and collaboratively., • BSc / BEng in Mechanical Engineering, Mechanical Design, Product Design Engineering, or similar. If you or anyone you know is looking for a Mechanical Design Engineer role, click apply or send your up-to-date CV to

Job Title: Senior product engineer/designer – Advanced machines Location: Sheffield, UK (primarily on-site, some flexibility) Type: Full-time, Permanent Salary: £49,000 - £75,000 per annum About Fyous Fyous is building a new class of manufacturing technology — fast, digital, zero-waste, and fundamentally different to anything on the market today. We’re looking for an exceptional Lead Design Engineer to take a complex, integrated machine from prototype through to a repeatable, production-ready product. You’ll work directly with the founders and Senior Leadership Team, with significant freedom and responsibility to get things done properly. Our Culture At Fyous, culture is not an afterthought – it's a core driver of our success. We’re committed to continuously building a better, more resilient, and human-centric working environment. We value openness, learning, and integrity, and we actively invest in helping our team grow not just technically, but personally. All employees are encouraged to read from a curated library of books that shape how we work, communicate, and resolve conflict. Titles like Radical Candor by Kim Scott help foster a feedback-rich culture where people challenge directly while caring personally. Malcolm Gladwell’s Outliers informs our understanding of how environment, practice, and opportunity shape excellence – lessons we apply in how we grow talent and structure work. This shared intellectual foundation helps align behaviours, encourage thoughtful communication, and support healthier resolution of internal friction. We believe great companies are built from the inside out – and that starts with how we treat each other every day. Role Responsibilities This is a hands-on, high-ownership role for an agile, creative engineer who is deeply passionate about great design and disruptive solutions. You’ll take pride in turning new technology into robust, manufacturable machines, working across individual parts, assemblies and complete systems. Challenges will be frequent and solving them is the job. As Senior product engineer/designer you will be responsible for early development of our first dental aligner moulding machine. You will lead the way from early concepts, testing, validation all the way through to producing the first production prototype. You will wear many hats and have experience in systems design across mechanical, software and electrical. You are a born maker, experimenter and problem solver. • Designing and developing complex mechanical systems, assemblies and full machines, • Develop processes and optimising parameters from test setups, • Integrating mechanical, electrical and software-controlled systems, • Building, testing and iterating prototypes on the shop floor, not just in CAD, • Running experiments, diagnosing failures and rapidly improving designs, • Scaling designs from prototype to production-ready hardware, • End-to-end engineering project ownership: planning, dependencies, risks and mitigation, • Monitoring progress and reporting clearly to senior stakeholders, • Managing requirements, interfaces and traceability across assemblies, • Ensuring requirements are correctly interpreted and implemented through development phases, • Driving design reviews and ensuring solutions follow robust engineering principles, • Ensuring compliance with regulatory requirements, • Evaluating build processes for effectiveness, efficiency and quality, • Providing technical leadership on test planning, execution and reporting, • Assessing design maturity using performance data, FMEA and lessons learned, • Owning detail design sign-off including 3D models, drawings, tolerance stacks and engineering BOMs, • Managing engineering change, part approval and deviation processes, • Working directly with suppliers and manufacturing partners across the globe, • Supporting RFQ and supplier decision-making with technical expertise This role spans design, build, systems thinking, project management and delivery. You will be expected to operate comfortably across disciplines and take full ownership of outcomes. Ideal Candidate Profile We’re looking for a pragmatic engineer with a deep technical foundation and a hands-on mindset. Essential Skills & Experience: • A degree in Mechanical Engineering, Mechatronics, Product Design or similar, • Software, programming or controls experience, • Proven experience taking complex machines from concept to market launch, • Experience scaling from prototype to low–medium volume production (~500 units/year), • Strong mechanical engineering fundamentals (mechanisms, tolerances, materials), • Practical experience integrating electrical systems, actuators, sensors and control software, • Strong understanding of systems engineering, requirements management and risk management, • Experience of international regulations related to the safe supply of machinery and CE certification, • Experience managing design changes, approvals and technical trade-offs, • Ability to assess cost implications of design decisions and drive cost-effective solutions, • Practical knowledge of 3D CAD, PLM systems and analysis tools, • Exceptional analytical and problem-solving ability, grounded in data and evidence, • The ability to clearly explain technical findings and recommendations to senior leadership, • A strong bias toward practical, on-site engineering and experimentation, • High ownership, sound judgement and a track record of shipping real hardware Compensation & Benefits • Salary: £49,000 - £75,000 depending on experience., • Equity: All employees receive equity., • Private Healthcare: Full coverage provided., • Product Perks: Discounted Mous products., • Development Support: Training and growth encouraged. Application Process To apply, email your CV and a short cover letter to: Process: • Initial call, • Technical challenge, • On-site interview, • Final interview We’re ready to hire immediately but are happy to wait for the right candidate. Join us in rethinking how things are made.

Job Description – AI Engagement Senior Architect Role: AI Engagement Senior Architect Skills: GenAI, Agentic AI, ML, LLMs, GCP Architecture Location: London or Sheffield Experience: 12–18 years (with 4–6 years in AI/GenAI) Role Summary We are seeking an AI Engagement Senior Architect to lead GenAI solutioning, architecture design, and client engagement across enterprise AI programs. The role involves driving AI strategy, designing scalable GenAI and Agentic AI systems on GCP, guiding engineering teams, and ensuring end-to-end delivery quality. The ideal candidate is both a hands-on technologist and a client-facing architectural leader. Key Responsibilities AI Strategy & Solution Architecture • Define AI/GenAI solution architecture using LLMs, Agentic frameworks, multimodal models, and ML systems., • Lead architecture workshops with CXO, Product, and Engineering stakeholders., • Translate business challenges into AI/ML use cases, PoVs, PoCs, and scalable roadmaps., • Own end-to-end GenAI system design: data pipelines → vector DB → LLM orchestration → evaluation → Deployment. Technical Leadership • Architect and implement GenAI solutions using RAG, agents, tool-use, prompt engineering, fine-tuning, model evaluation, and guardrails., • Build agentic automation workflows using frameworks such as LangChain, LlamaIndex, Haystack, CrewAI, Vertex AI Agent Builder, etc., • Lead ML engineering best practices (MLOps, LLMOps, CI/CD for AI workloads)., • Ensure enterprise-grade security, governance, privacy, and model risk controls. GCP Architecture & Cloud Engineering • Design scalable AI workloads on Google Cloud using: Vertex AI, BigQuery, GCS, Cloud Run, Dataflow, Pub/Sub, Looker, GKE • Architect hybrid GenAI solutions using 1P + open-source + 3P model ecosystems., • Drive cost-efficient cloud architectures and performance optimization. Client Engagement & Delivery • Act as the technical face for all AI engagements., • Support pre-sales, RFP responses, solution proposals, and estimations., • Guide cross-functional engineering teams towards successful delivery., • Conduct technical reviews, architectural assessments, and maturity evaluations. Must-Have Skills (with proficiency levels) Skill Area Required Expertise GenAI Architecture Expert in RAG, LLM-based systems, prompt engineering, embeddings, guardrails Agentic AI Nice-to-Have Skills • Experience with enterprise AI patterns (retrieval pipelines, agents, copilots, AI apps), • Knowledge of AWS or Azure AI stacks, • Experience implementing GDPR/PII controls in AI systems, • Exposure to data engineering (ETL, data modeling, batch/stream processing), • Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related fields Cloud Architect certifications (preferred): o Google Professional Cloud Architect o Google Machine Learning Engineer

Senior Product Engineer/Designer (Advanced Machines) Concept → Production Location: Sheffield, UK (On-site) Type: Full-time, Permanent We are looking for a hands-on Product Engineer/Designer who thrives in fast-paced environments working with with a rapidly scaling advanced engineering business that is building a first of its kind precision/complex machine geared towards sustainability, speed and cost reduction. This is NOT a styling or CAD only role. It’s a deep engineering, machine building role where you’ll own complex systems from early concept through to production. Prefer being hands on in the workshop, building, testing and iterating? You’ll take ownership of complex mechanical systems and work across mechanical design, automation, and controls, helping drive the machine from early concept through prototype, validation, and into production. • Design and develop complex mechanical systems, assemblies and full machines, • Integrate mechanical, electrical, and software control systems at a practical level, • Design experiments and validate feasibility quickly, • Support the transition from prototype into production, • Run experiments, diagnose failures and rapidly improve design Key skills / Experience required: • High skill level for research, design, testing/experimentation and hands-on engineering, • Comfortable working across mechanics, automation, and controls, • Proven experience taking a physical product or machine from concept to production, • Strong engineering fundamentals (materials, tolerances, precision design), • Practical, experimental mindset, you test ideas, not just model them, • Clear communicator who can explain decisions and trade-offs Benefits: • Equity: All employees receive equity, • Private Healthcare: Full coverage provided, • Development Support: Training and growth encouraged Overview: Join a scaling team developing accessible, sustainable, low-cost manufacturing, and building a new class of manufacturing technology - fast, digital, zero-waste, and fundamentally different from anything on the market. We’re looking for a Senior Product Engineer/Designer who enjoys hands on problem solving and is motivated by building something technically difficult and new.

Job Title: R&D Engineering Manager – Advanced machines Location: Sheffield, UK (primarily on-site, some flexibility) Type: Full-time, Permanent Salary: £49,000 - £75,000 per annum About Fyous Fyous is building a new class of manufacturing technology — fast, digital, zero-waste, and fundamentally different to anything on the market today. We’re looking for an exceptional R&D Engineering Manager to take hands-on ownership of the day-to-day technical delivery of a complex, integrated machine — from active R&D through to a repeatable, production-ready product. You’ll work directly with the founders and Senior Leadership Team, with significant freedom and responsibility to get the machine delivered on time and to a high standard. Our Culture At Fyous, culture is not an afterthought – it's a core driver of our success. We’re committed to continuously building a better, more resilient, and human-centric working environment. We value openness, learning, and integrity, and we actively invest in helping our team grow not just technically, but personally. All employees are encouraged to read from a curated library of books that shape how we work, communicate, and resolve conflict. Titles like Radical Candor by Kim Scott help foster a feedback-rich culture where people challenge directly while caring personally. Malcolm Gladwell’s Outliers informs our understanding of how environment, practice, and opportunity shape excellence – lessons we apply in how we grow talent and structure work. This shared intellectual foundation helps align behaviours, encourage thoughtful communication, and support healthier resolution of internal friction. We believe great companies are built from the inside out – and that starts with how we treat each other every day. Role Responsibilities As R&D Engineering Manager for Advanced Machines, you will be responsible for the hands-on technical delivery of Fyous’ next machine platform. You will own the technical delivery plan, be deeply involved in the workshop executing and unblocking the build and ensure engineering commitments become reality. You will lead day-to-day technical execution from active R&D through to a robust, repeatable machine ready to ship to customers. You will wear multiple hats: leader, builder, troubleshooter, delivery owner, and technical communicator. You are a born maker and problem-solver who enjoys working at pace, taking accountability, and pushing real hardware through to completion. You’ll be deeply involved in the technical detail, actively building, testing and unblocking progress on the shop floor. But you’ll also keep the wider business aligned and informed: own the technical plan, surface risks early, and communicate clear updates so there are no surprises. This includes: • Owning the technical delivery plan: milestones, dependencies, sequencing, critical path and decision gates, • Translating project goals into weekly and daily priorities for the engineering team, • Ensuring deadlines are met, despite uncertainty, • Being physically present in the workshop to build, test, troubleshoot and unblock progress, • Running experiments, diagnosing failures and rapidly improving designs, • Scaling designs from prototype to production-ready hardware, • Managing technical risks, blockers and mitigations, • Running practical design/build reviews to ensure solutions are robust, testable and manufacturable, • Owning technical test planning and execution to validate design maturity and performance, • Working with the commercial team, and customers, to ensure their requirements are translated into deliverable technical requirements, • Monitoring progress and reporting clearly to the Senior Leadership Team, • Maintaining technical clarity and decision readiness: options, impact and recommended actions, • Supporting supplier engagement where required (RFQs, build support, technical decisions), • Capturing lessons learned and driving continuous improvement across delivery and build quality, • Coaching engineers through hands-on problem solving, practical reviews and structured thinking, • Setting expectations for what “good” looks like in build quality, testing discipline and communication, • Giving clear feedback to raise the bar in engineering This role spans hands-on engineering, delivery ownership, systems thinking and execution. You will be expected to operate comfortably across disciplines and take full ownership of outcomes. Ideal Candidate Profile We’re looking for a pragmatic, hands-on engineer with enough technical depth to own the plan and the truth — someone who is happiest in the workshop building, testing and solving problems, but who can also communicate clearly to senior leadership. You don’t need to have direct line management experience, but you must be a highly competent leader. Essential Skills & Experience • Strong hands-on experience building and delivering complex machines, prototypes or integrated hardware systems, • Proven ability to own technical delivery: milestones, dependencies, critical path and execution priorities, • Ability to drive delivery discipline and accountability in an R&D environment with unknowns, • Strong mechanical engineering fundamentals (mechanisms, tolerances, materials, interfaces), • Practical experience integrating mechanical systems with electrical, sensors, actuators and software-controlled systems, • Strong practical problem-solving ability grounded in data, evidence and real-world testing, • Experience running experiments, diagnosing failures and rapidly iterating designs/builds, • Experience driving design/build reviews, sign-off and technical decision-making, • Ability to communicate clearly to senior stakeholders: progress, blockers, risks, trade-offs and decisions required, • A strong bias toward practical, on-site engineering and workshop execution, • High ownership, sound judgement and a track record of shipping real hardware, • Experience of leading Engineering teams Role Fit (you’ll thrive here if you…) • Prefer being hands-on in the workshop, building, testing and iterating — not managing from behind a desk, • Enjoy being accountable for delivery outcomes, not just contributing tasks, • Thrive in fast-moving environments where priorities shift and execution matters more than process, • Are comfortable making and communicating tough trade-offs early (scope, schedule, resources), • Naturally surface risks early, communicate clearly, and don’t wait for problems to become emergencies, • Work well in small teams where you need to move fast, take ownership, and drive momentum, • Have shipped complex machines or integrated hardware systems into the real world and take pride in that Nice to have • Experience in regulated or safety-critical environments (Machine Directive, UKCA/CE, medical-adjacent), • Experience scaling from prototype to low–medium volume production (~500 units/year), • Familiarity with systems engineering, requirements management and risk management, • Experience with FMEA, tolerance stacks, verification/validation thinking, • Practical knowledge of CAD, BOM control, engineering change and supplier technical decision-making Compensation & Benefits • Salary: £49,000 – £75,000 depending on experience., • Equity: All employees receive equity., • Private Healthcare: Full coverage provided., • Product Perks: Discounted Mous products., • Development Support: Training and growth encouraged. Application Process To apply, email your CV and a short cover letter to: Process: • Initial call, • Technical challenge, • On-site interview, • Final interview We’re ready to hire immediately but are happy to wait for the right candidate. Join us in rethinking how things are made.

The Company At Southern Scientific, we're passionate about our work, customers, people, and our culture. We specialise in supplying radiation detection equipment for the Nuclear, Medical, Security, Defence, Industrial & Research, continuously aiming to be the very best by delivering high-quality products and exceptional service at an international level. We were recognised recently when we received the prestigious King’s Award for Enterprise in International Trade as part of the LabLogic Group. Join our collaborative and supportive team at Southern Scientific, where we're committed to our core values of being Passionate and Driven, Accountable, Respectful and Inclusive, fostering a Family Atmosphere, being Efficient, Customer-Focused, and Trustworthy. Here, benefits like our annual Center Parcs trip and race days foster positive working relationships, making Southern Scientific more than just a workplace; it's a rewarding journey in a globally acclaimed organisation. The Role We are seeking a passionate and experienced R&D Engineer to drive products and innovations from prototype to production. In this position, you will be based out of our Sheffield office along with other R&D scientists and engineers both from Southern Scientific and the LabLogic Group. You will be responsible for developing a range of exciting and innovative R&D projects. You will be an essential member of the R&D team, delivering cutting-edge engineering projects, pioneering industry-leading technology, and working in an agile engineering team requiring a multiskilled approach whilst ensuring compliance with customer, industry, and regulatory requirements. You will also attend industry-specific conferences aimed at further developing your knowledge of the industry's ongoing work and the challenges our customers are currently facing that we can assist with. Responsibilities • Execution of technical tasks in a deadline-orientated manner, • Working in partnership with product specialists to define requirements specifications for new products, • Developing and implementing new electronic hardware and embedded firmware solutions in line with product requirements, • Taking ownership of the design and development of new electronic hardware and firmware solutions, working with other team members to manage integration, collaborate on problem-solving and provide mutual peer review, • Carrying out testing and evaluation of all new product developments to ensure robust and comprehensive hardware and firmware solutions, • Carrying out engineering work in line with company procedures based on industry-recognised quality standards, • Supporting other engineers and collaborating to create a cohesive design, • Applying proper project management processes and complete documentary records for safekeeping and traceability The above list is not exhaustive and, as such, you may be required to undertake other duties as appropriate. Requirements Essential • At least five years of relevant industry experience working in a research and development team, • Undergraduate degree in Electrical & Electronics Engineering, Physics, Embedded Systems or equivalent, • Experience in embedded programming using C or a similar programming language, • Experience in electronic/scientific instrumentation design, prototyping and bench testing, • Excellent communication skills and experience working well in a multi-skilled team, • Excellent ability to prioritise tasks and manage time to meet project needs Desirable • Experience with mechanical design and using CAD design tools, • Experience working with STM32/ARM microcontroller systems, • Experience working with SolidWorks CAD software, • Knowledge of nuclear physics concepts and common radiation detector instrumentation design, • Knowledge of IPC standards, • Knowledge of simulation techniques for electronics design, • Full driving license Benefits • You will receive all bank holidays plus 24 days holiday per year (increasing over service) + additional day off over Christmas, • UK team building weekend at Center Parcs for employees and their families to attend, • Social events hosted throughout the year, • Private medical insurance with BUPA, • Scottish Widows pension scheme, • Death in service policy, • On-site gym, • Cycle to work scheme

Position: Mechanical Design Engineer Location: Sheffield Salary: £35K-55K Our client is seeking a passionate and dynamic Mechanical Design Engineer who is driven by curiosity & precision, who takes an innovative & inquisitive approach & who has the capacity to ‘think outside the box’ to solve problems. This is your opportunity to work on varied & intellectually demanding projects. In this role you will be responsible for product design, development, and detailing utilizing CAD software, calculations, Projects specific areas, machines, technologies and working in close collaboration with Project Engineers to reach assigned targets. Your responsibilities will include: • Being accountable for the completion of 3D modelling, detail design, technical calculations, and product development as assigned by management utilizing the internal software and tools., • Responsibility for assigned portion of product design and development process, ensuring project schedules are maintained while following the Company standards., • Developing the layout of areas of equipment, proposal layout, basic engineering of new mechanical equipment based on Customer requests., • Carrying out complex mechanical calculations., • Participating in commercial / technical (basic and detail design) meetings worldwide. This will involve customer interaction and other business units such as Civil, Piping, Automation, • Assisting Purchasing, Manufacturing, Erection and Commissioning Departments during handling of developed engineering where necessary, • Continuous monitoring on project progress, identify any areas of concern, escalating where necessary and managing customer expectations, • Supporting sales activities through drawing/document creation and on-site reverse engineering of products., • Liaising with representatives from suppliers during technical evaluations of project solutions., • Managing expectations, clarifying requirements and making requests, including submission deadline changes, as required. About you: • Degree in Mechanical Engineering or equivalent relevant experience., • Proven experience in 2D and 3D CAD required (Autodesk Inventor an advantage but not essential) within an OEM structured engineering department, • Metallurgy, material science, heat treatment; specific knowledge in cutting, welding, heat treatment and machining, • Mechanical calculations (NX, MathCAD, Microsoft Excel), • Free reading of design/technical documentation, • To operate freely with international documentation: technical books, standards, catalogues etc (AutoCAD, Inventor), • Work in international groups with ability to communicate both verbally and written and work within a worldwide team environment., • Strong analytical and problem-solving ability looking at overall results and finer details., • Ability to prioritise workload, on-time delivery and deliver on-time results to Company standards whilst working on multiple projects., • Experience undertaking structured writing in the form of technical reports., • Available for regular business travel (worldwide), • Basic product/plant understanding and know-how (what pieces go where and how to find reference information).

Position: Senior Mechanical Design Engineer Location: Sheffield Salary: £40K-60K Our client is seeking a passionate and dynamic Senior Mechanical Design Engineer who is driven by curiosity & precision, who takes an innovative & inquisitive approach & who has the capacity to ‘think outside the box’ to solve problems. This is your opportunity to work on varied & intellectually demanding projects. In this role you will be responsible for product design, development, and detailing utilizing CAD software, calculations, Projects specific areas, machines, technologies and working in close collaboration with Project Engineers to reach assigned targets. Your responsibilities will include: • Being accountable for the completion of 3D modelling, detail design, technical calculations, and product development as assigned by management utilizing the internal software and tools., • Responsibility for assigned portion of product design and development process, ensuring project schedules are maintained while following the Company standards., • Developing the layout of areas of equipment, proposal layout, basic engineering of new mechanical equipment based on Customer requests., • Carrying out complex mechanical calculations., • Participating in commercial / technical (basic and detail design) meetings worldwide. This will involve customer interaction and other business units such as Civil, Piping, Automation, • Assisting Purchasing, Manufacturing, Erection and Commissioning Departments during handling of developed engineering where necessary, • Continuous monitoring on project progress, identify any areas of concern, escalating where necessary and managing customer expectations, • Supporting sales activities through drawing/document creation and on-site reverse engineering of products., • Liaising with representatives from suppliers during technical evaluations of project solutions., • Managing expectations, clarifying requirements and making requests, including submission deadline changes, as required. About you: • Degree in Mechanical Engineering or equivalent relevant experience., • Proven experience in 2D and 3D CAD required (Autodesk Inventor an advantage but not essential) within an OEM structured engineering department, • Metallurgy, material science, heat treatment; specific knowledge in cutting, welding, heat treatment and machining, • Mechanical calculations (NX, MathCAD, Microsoft Excel), • Free reading of design/technical documentation, • To operate freely with international documentation: technical books, standards, catalogues etc (AutoCAD, Inventor), • Work in international groups with ability to communicate both verbally and written and work within a worldwide team environment., • Strong analytical and problem-solving ability looking at overall results and finer details., • Ability to prioritise workload, on-time delivery and deliver on-time results to Company standards whilst working on multiple projects., • Experience undertaking structured writing in the form of technical reports., • Available for regular business travel (worldwide), • Basic product/plant understanding and know-how (what pieces go where and how to find reference information).

About the role: The Principal Thermofluids Engineer is responsible for the design, analysis and optimisation of advanced liquid-cooling solutions for high‑performance IT equipment, including CPUs, GPUs, FPGAs, ASICs, DIMMs, storage and networking hardware. The role ensures Iceotope’s systems deliver best‑in‑class thermal performance, energy efficiency and reliability, while enabling circularity and energy reuse in data centre and edge applications. What you’ll do • Own the end‑to‑end thermal and fluid design of novel liquid‑cooling solutions for high‑power IT hardware, from concept through to validation and deployment., • Specify and select internal components (heatsinks, cold plates, heat exchangers, pumps, valves, manifolds and hydraulic circuits) to achieve target temperatures, flow distribution and pressure drops., • Define and recommend external system components (CDUs, chillers, dry coolers, strainers, heat rejection units) so that Iceotope equipment receives coolant at the correct temperature, pressure, flow rate and quality., • Perform CFD and 1D system simulations (e.g. for immersion tanks, cold plates, manifolds and facility loops), including model setup, solution strategies, post‑processing and correlation with test data., • Provide technical leadership on fluid mechanics, heat transfer and liquid‑cooling technologies, acting as the go‑to subject matter expert for engineering, product and customer‑facing teams., • Work closely with Mechanical, Electronics, Systems and Manufacturing Engineering to integrate liquid‑cooling solutions into product designs, balancing performance, cost, manufacturability and serviceability., • Support the development of new dielectric cooling technologies, heatsinks, cold plates and system topologies to keep Iceotope at the forefront of direct‑to‑chip and immersion liquid‑cooling innovation., • Define test plans and support lab and field validation of thermal and hydraulic performance; use results to calibrate models and refine design rules and best practices., • Prepare high‑quality technical documentation, design reports, specifications and customer‑facing materials that clearly communicate system performance and design intent., • Act as a technical point of contact in customer and partner engagements, including data centre operators, hyperscalers, OEMs and technology partners., • Mentor and coach junior engineers in thermofluids, CFD methods, design processes and good engineering practices. What you’ll bring • Degree (or equivalent) in Mechanical Engineering or a closely related discipline, with Fluid Mechanics and Thermodynamics as core components; a higher degree or PhD in a relevant area is advantageous., • Extensive industrial experience (10+ years) working on heat transfer and fluid‑flow calculations, ideally in electronics, data centre, power, automotive, aerospace or similar high‑performance applications., • Deep understanding of convective and conductive heat transfer, boiling and phase‑change behaviour, and the key parameters that drive thermal performance across different materials and geometries., • Hands‑on experience with commercial CFD tools (3D and/or 1D) for thermal and flow simulations., • Track record of working effectively in multi‑disciplinary engineering teams, concise communication and a collaborative approach., • A pragmatic, delivery‑focused mindset: comfortable balancing theory and modelling with real‑world constraints, and able to make informed trade‑offs that support business and customer goals. Nice to have • Experience in electronics cooling, high‑density compute, data centres or telecoms infrastructure, particularly with immersion, cold‑plate or direct‑to‑chip liquid‑cooling technologies., • Proficiency with mechanical CAD (e.g. SolidWorks) for communicating and reviewing designs with the wider engineering team and suppliers., • Familiarity with dielectric fluids, two‑phase cooling, or other advanced cooling technologies used in next‑generation IT and power electronics., • Experience taking thermal designs from R&D into volume manufacture, including DFM considerations, supplier engagement and design validation/qualification., • Exposure to controls, monitoring and diagnostics for cooling systems (e.g. sensors, flow/pressure/temperature monitoring, alarms and control logic)., • Demonstrated thought leadership in thermofluids (e.g. publications, conference presentations, industry working groups or standards bodies). Why Iceotope? At Iceotope, you’ll be part of a forward-thinking team that is transforming the landscape of data center cooling. Our commitment to innovation and sustainability is at the heart of everything we do. Join us as we redefine the possibilities of IT infrastructure. Thermofluids / Thermodynamics / Fluid Mechanics / Heat Transfer

This is a key technical role within a growing Product Team, taking ownership of product design from early concept through to production release. Own the end-to-end technical design of products, from concept through to production. You’ll act as the technical authority on assigned product lines, tra

Principal Data Engineer Location: Flexible UK Salary: £95,000 plus bonus of up to 17 per cent and a yearly equity gift worth 10 per cent of base I am working with a scaling technology organisation operating across multiple brands within the property and legal technology space. As the business continues to grow and mature its data capability, they are now looking to hire a Principal Data Engineer to define and lead the technical direction of their data platform. This is a senior, highly influential role sitting above multiple engineering teams. While there is a strong hands on element, this position is first and foremost about technical leadership, architecture, and setting standards. You will shape how data is ingested, governed, and trusted across the organisation, playing a central role in building a robust and scalable data warehouse and data platform as the business evolves. The environment spans Azure and AWS, with Databricks at the core of the data stack. You will work closely with senior engineering, product, and business stakeholders to design future proof data architectures that can scale with increasing data volumes and complexity. As the organisation grows, this role offers a genuine opportunity to architect a modern data warehouse and lake that underpins insight across the UK housing market. This role is ideal for a principal level engineer who enjoys operating at both strategic and execution levels. Someone comfortable defining architecture and governance with senior leaders, while also rolling up their sleeves to build and optimise complex data pipelines. What you will be doing • Defining and owning the technical strategy for the data platform across ingestion, processing, and analytics, • Designing scalable, secure, and high performance architectures using Databricks and distributed data systems, • Building and overseeing robust data ingestion pipelines using PySpark, with a strong focus on reliability and accuracy, • Ensuring end to end data quality from raw ingestion through to curated datasets used for reporting and analytics, • Establishing and enforcing best practices around data governance, lineage, metadata, and security, including Unity Catalogue, • Anticipating future scaling challenges and ensuring the platform is fit for long term growth, • Acting as a technical authority across data engineering teams, raising standards and guiding architectural decisions, • Partnering with product, engineering, and commercial leaders to prioritise high impact data initiatives, • Ensuring data platforms are compliant with GDPR and wider regulatory requirements, • Evaluating and introducing new technologies where they add clear value to the data ecosystem What you will bring • Deep expertise in PySpark and distributed data processing at scale, • Strong hands on experience designing, building, and optimising Databricks based platforms, • Advanced SQL skills including performance optimisation and schema design for analytical workloads, • Experience working across Azure based data warehouses, with some exposure to AWS, • Proven experience defining and leading complex data architectures rather than just implementing them, • Strong understanding of data governance, data quality frameworks, and security best practices, • A track record of influencing senior stakeholders and aligning data strategy with business objectives, • Experience mentoring senior engineers and setting technical standards without formal line management, • A strategic mindset with a clear focus on data reliability, scalability, and long term business value If you are a Principal Data Engineer looking for a role where you can genuinely shape a growing data platform and influence technical direction at scale, I would be happy to share further details in confidence.

Entelligence is seeking an Engineer to support our Palo Alto’s clients. The successful candidate must be able to work in a cross-functional environment and interact with representatives from Entelligence, Palo Alto Networks, and the end-user. As an Engineer for Cortex XSIAM, you will be responsible for assisting with the log migration and detection strategy of our customers. You will work closely with the technical lead to ensure that all of the relevant log sources are onboarded and ingested into XSIAM in accordance with industry best practices and customer requirements. You will then work to determine a suitable detection strategy, helping to protect customers from threats, by designing and implementing correlation rules. RESPONSIBILITIES: • Work with technical lead to develop log ingestion strategy, • Contribute to detection strategy based on industry best practices, • Detail step by step process to ingest high quality log sources, • Perform log source monitoring and optimization, • Create high quality correlation rules, • Tune log sources and correlation rules, • Be an SME for SIEM, Correlation and Log Source Ingestion, • Recognize opportunities where automation can improve analyst alert handling, • Collaborate with internal and external teams to ensure product adoption, • Create technical documentation detailing SIEM aspects of the engagement, • Travel to customer meetings and workshops as needed (10%) JOB REQUIREMENTS: • Strong communication (written and verbal) and presentation skills, both internally and externally, • Fluent English is a requirement - Any other language is a plus, • 3+ years of deploying and integrating (SIEM) to enterprise to large enterprise-level, • Coordinating and conducting event collection, log management, event management, compliance automation, and identity monitoring activities using (SIEM) platforms, • The ability to create and develop correlation and detection rules, within a (SIEM) to support alerting capabilities • Experience working with and deploying a variety of SIEM technologies (i.e Splunk, IBM QRadar), • A proven ability to offer suggestions on detection strategy based on customer requirements, • Ability to understand logs, locating and understanding 3rd party documentation where needed, • Familiarity with reports on the status of the SIEM to include metrics on items such as number of logging sources - log collection rate, and other performance metrics, • Knowledge of Security Analysis & Response a plus, including both endpoint, network & cloud based environments • 3 years experience with Security Operation Centers tooling and processes• Relevant bachelor's degree or industry recognized qualifications (CISSP, GIAC, SIEM Vendor Qualification etc), • Ability to read and understand technical design documentation, • Ability to create technical design documentation BENEFITS • Competitive base salary, • Medical, dental, vision and life insurance, • Vacation, sick time and paid holidays, • Matching 401(k) program ENTELLIGENCE. ALWAYS READY. Since 1997, Entelligence has provided mission critical project delivery capacity for uninterrupted growth and long-term market leadership to the industry’s biggest enterprise IT brands. Our commitment to close working partnerships and a proven approach for sustainable success is why Entelligence is Always Ready to help the world’s technology leaders quickly deliver their most advanced IT solutions to their most important customers.

Senior Rust Engineer UK, fully remote (Must be based in the UK now) Sadly no sponsorship possible Up to £95K Skills: Rust | Backend Systems | gRPC | Postgres | Integrations I’m partnering with an early-stage, product-led startup building a platform for transport operations - frankly, one of the most complex, real-time environments in the world. The team are already profit making with runway for the next 2 years (if they brought no further clients on). Please note, some travel across Europe/USA may be required. Core skills we look for: • Rust (2+ years commercial experience), • gRPC, • PostgreSQL or SQL, • Professional experience in developing integrations with third-party systems, • CI/CD, Docker, GitHub Actions Why this role? • High-ownership role with real production impact, • Technically challenging domain (real-time systems, integrations, complex data models), • Early-stage environment with influence over architecture and product direction What you’ll be doing: • Build and maintain Rust-based backend services using gRPC and Postgres, • Design and own integrations with external client systems, • Lead technical conversations with product teams and customers to gather requirements, shape solutions and deliver new features, • Design data models, • Contribute to frontend development in React/Android when needed Helpful skills if you had them: • Streaming or unary gRPC, • Apache Arrow / Parquet, • Observability tooling (Prometheus, Grafana, CloudWatch) If you're interested in this kind of challenge apply now - let's chat!

TalentCo are delighted to be working with an AI startup looking to hire a high-calibre Lead AI Engineer into their growing engineering team in the UK, having recently closed a significant seed funding round. This is a senior individual contributor hire and can be based remote-first anywhere in the UK, for this London HQ'd startup. You will drive the technical evolution of the clients AI-first platform and serve as their resident AI expert. You will be a core software engineer architecting the complex systems that make AI useful in production, splitting your time between crafting complex AI processing architectures and hands-on data/backend engineering, with the rest spent doing whatever is needed to ship. As Lead AI Engineer you will: • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategically Advise: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimisation. We want to hear from you if you bring: • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What do they offer? • Base salary c£150k, • Remote-first with occasional trips to the London HQ to see the team, • Apple devices and the best AI tooling, • Meaningful early-stage share opportunities, • Career rocket fuel - real growth, real ownership, real impact

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

Senior Backend Engineer | Fully Remote UK | £70,000-£75,000 | Python | Django | AWS Location: Fully Remote - Candidates MUST be UK based Salary: £70,000-£75,000 + benefits Tech Stack: • Backend: Python (Django), • Frontend: React, • Cloud Systems: AWS, Docker Are you a Senior Backend Engineer who enjoys taking ownership of real production systems and shaping how a platform evolves as it scales? We are working with a specialist technology company building an impactful platform focused on quality, credibility, and long term sustainability. The product is live, revenue generating, and growing steadily, with a clear roadmap for scale and international expansion. This is not an idea stage business and the engineering decisions made now genuinely matter. Responsibilities: • Take ownership of the backend platform, covering reliability, scalability, and feature delivery, • Audit and deeply understand an existing Django based system before driving improvements, • Design and build new backend features that support growth and product evolution, • Own technical decisions around architecture, performance, and maintainability, • Work closely with a small senior team to shape the future direction of the platform Requirements for Success: • Strong experience building and maintaining backend systems in Python, • Solid understanding of Django and REST based architectures in production, • Experience working with asynchronous systems such as Celery and message queues, • Comfort operating in cloud environments, ideally AWS, • Strong problem solving skills and the ability to take ownership in a startup setting Our client is looking for someone who is comfortable operating with autonomy, can think critically about system design, and enjoys improving and scaling platforms rather than maintaining legacy code. Clear communication and sound technical judgement matter more than titles or years served. The successful candidate will have a proven track record in backend engineering and will be confident owning systems end to end. This is an opportunity to be hands on technically now, with scope to influence hiring and leadership direction as the team grows. Benefits: • Fully remote working with a high trust environment, • Flexible hours focused on outcomes rather than time spent, • Equity or options available, • Small, collaborative team with no unnecessary red tape, • Opportunity to build a meaningful product with long term impact Interested and ready to take your engineering career to the next stage? Get in touch at or call 07378 549703 for a confidential chat. Senior Backend Engineer | Fully Remote UK | £70,000-£75,000 | Python | Django | AWS

Java Backend Engineer (Contract) 6 months Fully remote (EU) Rate: 250–300 EUR/day We are looking for an experienced Java Backend Engineer to join a cross-functional delivery team building a modern data integration layer for a healthcare technology platform. The team is responsible for designing and scaling a GraphQL API layer that connects multiple product domains and unlocks new data workflows. This is a hands-on role with strong engineering standards and autonomy over technical decisions. Responsibilities • Design and build GraphQL and REST APIs with strong performance and clean domain boundaries, • Develop JVM-based services using Spring Boot and modern engineering practices, • Own services through design, implementation, deployment, monitoring and optimisation, • Work closely with Product, QA and DevOps to deliver features end-to-end, • Implement best practices for secure, reliable and maintainable code, • Contribute to performance tuning, caching strategies, pagination, resilience patterns and service health, • Participate in code reviews and knowledge sharing within the team Required skills • Solid hands-on experience with Java (11+) and Spring Boot in production, • Strong understanding of concurrency, collections and JVM fundamentals, • Experience with RESTful APIs; GraphQL experience beneficial, • SQL and NoSQL experience (e.g., PostgreSQL, MySQL, MongoDB, Redis), • Familiarity with Kafka or RabbitMQ for event-driven integration, • Comfortable with CI/CD pipelines and cloud environments (AWS/Azure/GCP), • Strong testing mindset (unit, integration, contract) and automation awareness, • Understanding of OAuth2/OIDC, JWT and general security patterns, • Familiarity with observability tools (OpenTelemetry, Prometheus, Grafana, ELK etc.) Nice to have • Previous work with healthcare or regulated environments, • Experience in distributed systems or platform teams, • Experience mentoring or supporting engineering peers Offer • 6-month contract, • Fully remote work within the EU, • Daily rate 250–300 EUR depending on experience, • Opportunity to work with a modern architecture and high-impact domain Ideal Start: ASAP Availability: EU-based contractors only

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

STAFF ENGINEER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities • Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java)., • Build and optimise AI/ML pipelines leveraging LLMs and RAG architectures., • Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments., • Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products., • Ensure high performance, testability, and reliability across the stack. Key Qualifications • Strong proficiency in Java and React/TypeScript, • Hands-on experience building and deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.)., • Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning., • Experience with ML model serving, SDK development, and working in production-grade environments., • Ability to work across the full stack and thrive in a fast-paced, collaborative environment., • Product-focused engineer What We Offer: • The chance to work with cutting-edge hardware technologies in a high-growth environment., • A collaborative team culture that values innovation and technical excellence., • Competitive salary and benefits package.

Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript I am currently working with one of the fastest-scaling platforms in the creator economy which is a creator-first, AI-powered product that enables creators around the world to directly monetise their audiences. Every system you build will operate at serious global scale. 🎯 The Role As a Senior Software Engineer, this is a hands-on, high-impact role for an engineer who thrives on complexity, scale, and ownership. As the different platforms grow, this role offers a clear path to progress as a Principal IC or Engineering Leader, scaling both the systems and your own influence. What you will do... • Architect scalable systems, • Own features end to end, • Build critical tooling, • Scale third-party integrations, • Raise the bar for developer experience, • Continuously improve code quality, testing, observability, and maintainability across different systems., • Collaborate cross-functionally, • Work closely with product, design, compliance, legal, and operations to balance user experience, regulation, and business priorities., • Move fast, without breaking trust, • Deliver high-quality systems at the pace of a rapidly scaling global platform. Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript Who you are... • Strong technical foundation, • Deep experience with TypeScript, React, Node.js, and SQL/Postgres., • Systems thinker, • Comfortable designing complex, interdependent systems with financial, regulatory, and UX constraints., • Hands-on senior engineer, • You love writing code and solving hard problems — from low-latency checkout flows to resilient retry, fallback, and routing logic., • Clear communicator & collaborator, • Able to explain trade-offs, manage stakeholders, and work transparently across teams., • High standards, high velocity, • You move quickly without compromising on security, reliability, or quality., • Ownership & passion, • You take projects end-to-end and genuinely care about building world-class systems. Why Join? • Work on systems that directly impact trust, conversion, and revenue, • Competitive salary, equity, and benefits, • Hybrid or remote flexibility with flexible working hours, • Unlimited holiday, growth & wellbeing budget, • Join a high-calibre, mission-driven team that values ownership, transparency and speed Remuneration & Benefits -> Up to £110,000 + meaningful equity + benefits -> Unlimited holiday -> UK Remote (Office in Canary Wharf if you want to go in) -> Work closely with a brilliant, mission-led team If you want to hear more about the Senior Full Stack Engineer | Up to £110K | One of the UK's fastest growing AI platforms | UK Remote | React/Node/TypeScript please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

About Us We are a fast-growing fintech company building modern, scalable platforms that power real-world financial products. Our engineering culture values clean architecture, strong ownership, and pragmatic innovation. We operate in a cloud-native, microservices environment and invest heavily in frontend quality, design systems, and developer experience. The Role As a Lead Fullstack Engineer, you will play a key technical leadership role across frontend and backend systems. You’ll help shape architecture decisions, lead by example in code, and work closely with product, design, and other engineers to deliver high-quality, scalable solutions. This role is hands-on and ideal for someone who enjoys building modern web applications while mentoring engineers and influencing technical direction. Responsibilities • Lead the design and development of fullstack solutions in a microservices architecture, • Drive frontend excellence, including component design, design systems, and web standards, • Architect, build, and maintain scalable backend services, • Collaborate with product managers and designers to translate requirements into technical solutions, • Guide best practices around code quality, testing, performance, and security, • Mentor and support engineers through code reviews, pairing, and technical guidance, • Contribute to cloud and platform decisions, including deployment and observability Tech Stack & Environment Frontend: • Svelte (primary), with openness to React or Angular experience, • Strong focus on web components and reusable design systems, • Node.js or Python (microservices-based), • API-driven architecture, • Infrastructure & Cloud:, • Kubernetes, • AWS, • Containerized, cloud-native deployments, • Data:, • SQL databases What We’re Looking For • Strong experience as a senior or lead fullstack engineer in modern web environments, • Deep knowledge of JavaScript and frontend architecture, • Experience with Svelte, React, or Angular (Svelte experience is a plus, not a requirement), • Backend experience with Node.js and/or Python, • Solid understanding of microservices architecture, • Hands-on experience with Kubernetes and AWS, • Strong SQL skills and experience designing data models, • Proven ability to lead technically and mentor other engineers, • Comfortable working in a fast-paced fintech or product-driven environment Nice to Have • Experience building or maintaining design systems, • Exposure to web components standards, • FinTech, payments, or regulated-industry experience, • CI/CD and DevOps best practices What We Offer • Opportunity to lead and shape core technical systems, • Modern tech stack with real architectural ownership, • Collaborative, product-focused engineering culture, • Competitive compensation and benefits, • Flexible working arrangements

Role: Commissioning Engineer - BESS Location: UK Wide Employment Type: Permanent Sector: Energy Storage / Power Systems / Renewables About the Opportunity MDE UK is working in partnership with a global clean energy technology provider delivering large-scale battery energy storage systems (BESS) across utility and commercial projects. Due to continued growth and an expanding international project pipeline, we are looking to appoint an experienced Commissioning Engineer to support installation, commissioning, and ongoing technical support of energy storage assets. This role offers the opportunity to work on cutting-edge grid-scale energy storage projects, collaborating closely with international engineering, R&D, and product teams. Key Responsibilities • Carry out installation and commissioning of Battery Energy Storage Systems (BESS) in line with technical procedures and safety standards, • Perform system debugging, fault diagnosis, and troubleshooting, restoring energy storage systems to full operational status, • Support system start-up, testing, FAT/SAT activities, and site acceptance processes, • Prepare and review site commissioning plans, schedules, and technical documentation, • Coordinate on-site commissioning activities alongside project managers, site leaders, and subcontractors, • Complete technical modifications, upgrades, and maintenance activities as directed by the site lead, • Provide clear commissioning reports and feedback to engineering and project teams, • Work closely with international product and R&D teams, ensuring alignment with system design and performance expectations Experience & Qualifications • 2-3+ years’ experience commissioning Battery Energy Storage Systems (BESS) or similar power systems, • Strong background in electrical engineering, power electronics, or energy storage systems, • Experience working on utility-scale or commercial energy infrastructure projects, • Relevant site and safety certifications preferred, including:, • CSCS, • IOSH/NEBOSH, • SMSTS, • HV/LV electrical certification or authorisation is highly advantageous Skills & Competencies • Strong hands-on commissioning and fault-finding capability, • Comfortable working in site-based, field environments with long-term travel requirements, • Strong communication skills and ability to work within multidisciplinary and international teams, • Competent in Microsoft Office and technical reporting, • Detail-oriented, safety-focused, and process-driven, • Willingness to follow company procedures and site leadership direction

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Software Engineer will enhance Orange Logic’s software by participating in the design, development, maintenance and testing process. Your Role at Orange Logic: • Developing high quality software features and architecture that exceeds our customer’s needs, • Takes ownership of projects, including architecture, design, implementation, evaluation, optimization, testing, and deployment, • Obtains feedback from internal teams/clients to maintain/support the product development, • Writes automated Unit and Integration Tests for robust development, • Performs code reviews on other team members’ work, • Collaborates with distributed teams in France, Vietnam, and the United States Ideal Qualifications: • Bachelor’s degree in Computer Science, Mathematics or related field or equivalent experience, • Proficient with any back-end programming languages (i.e. C#, Java, Python, C++, etc.), • An understanding of complex algorithms and data structures, as well as a passion for intellectual challenges, • Strong self-discipline for delivering well-tested, complete features/modules under a tight schedule and the capability for rational thinking, • Experience with SQL relational database management systems is preferred, • Analytical mind with problem solving aptitude, • Ability to work independently Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Hybrid work environment with 3 days per week in our Montpellier, France office, offering flexibility while fostering collaboration and connection, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

About Envision: Envision Energy is a world-leading green technology company that provides renewable energy solutions for global enterprises, governments, and institutions. Encompassing three major business sectors - Smart Wind Turbines, Energy Storage, and Green Hydrogen Solutions, Envision Energy collaboratively constructs comprehensive solutions for energy transformation. Envision Energy has received several accolades for its sustainability performance, including the EcoVadis Gold Medal and the CDP “A-List”. It was also recognized in Fortune's “Change the World” list and ranked among the top 10 smartest companies by the MIT Technology Review. Today, Envision Energy leverages its global network of R&D and engineering centres across China, the United States, UK, France, Germany, Denmark, etc. to continuously lead global green technology development. Envision Energy joined the Science Based Targets initiative (SBTi) and committed to achieving the "Business Ambition for 1.5°C" in 2021. It has achieved carbon neutrality across its global operations by 2022 and will achieve carbon neutrality throughout its value chain by 2028. About the role: In the role of the Senior BESS Engineer, you will play a key role establishing engineering operational processes within the BESS project delivery organization. Besides leading the process definitions, you will be at the centre of ensuring that the projects is commissioned and operates as per project contractual specifications. Responsibilities: • Work closely with global product solutions teams to prepare project specific integration test plans and ensure that tests and reviewed and validated in time, • Coordinating with internal and external stakeholders for the design and integration of control systems, ensuring clear communication and alignment, • Support country level project teams on project commissioning, SAT and grid compliance (lead in new markets), • Review and approve engineering deliverables pertaining to control system (wiring diagrams, I/O lists, control logics, IP mapping, network routing, etc.), • Understanding of PCS parametrization and operations under fault contributions, inertia and reactive power flow behaviour under dynamic grid conditions, • Understand grid compliance testing requirements/protocols and work closely with PPC/SCADA supplier on control parameterizations and executing the required tests, • Validate tests results and ensuring that the project operates safely to contractual requirements, • Take ownership to feedback product and system integration issues to global product solutions team to develop and improve future products and roadmap, • Act as L3 support for O&M team during project lifetime by analysing and diagnosing system failures., • Collaborate with HQ LMT team to lead root cause investigations of technical issues., • Collaborate with internal stakeholders to implement corrective actions, system updates, or design changes aimed at improving reliability, safety, and performance of the BESS units. Qualifications: • Degree in Electrical Engineering, Power Systems or related discipline, • 5+ years of experience working on utility-scale BESS projects. Experience in product development is a plus, • In-depth knowledge of battery technologies (LFP), PCS functionality, system integration, BESS control philosophies, protection coordination and communication interfaces, • Experience working with FATs, SIT/SAT, alarm management, and integrated controls, • Understand developments / market requirements in the industry (eg. Updates to NFPA FSS, PCS GFM requirements, BESS trading strategies, cybersecurity updates), • Capability to understand and translate grid compliance requirements (eg. G99/G100 in the UK), • Extensive experience in issue diagnostics and troubleshooting during project O&M phase, • Strong coordination, stakeholder management and problem-solving skills

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

Quality Assurance Automation Engineer (Remote, UK) Build quality into products that power critical data decisions Salary: Up to £70,000 + Benefits Location: Fully Remote (UK) Growth: High growth scale‑up with exceptional long term prospects The Opportunity The business is looking for a Quality Assurance Automation Engineer who cares deeply about quality, automation, and real world outcomes. You’ll join a rapidly scaling technology business at a pivotal moment. You will be working on a platform that automates complex data workflows used in mission critical environments. With major global partners, recent investment, and expansion across the UK, Europe, and the US, this is a chance to take ownership of quality engineering in a product that genuinely matters. This is a high visibility role where your work will directly influence reliability, performance, and trust in a data driven platform used at scale. About the Company The business builds next generation software designed to remove friction from complex data processes, reducing manual effort, improving accuracy, and accelerating testing and deployment. Recognised as a leader in its space, the company is moving fast and investing heavily in engineering quality as it scales internationally. What You’ll Do As a key member of the engineering team, you will: • Design, build, and evolve robust automated test suites, • Execute manual testing and identify the highest value opportunities for automation, • Own test documentation, traceability, and QA processes, • Contribute to performance and security testing, including OAuth2 authentication, • Ensure reliable cross-browser, cross time zone testing for modern web applications, • Work closely with engineers and stakeholders to embed quality early in the SDLC What You’ll Bring You’ll bring a strong quality mindset alongside hands on technical capability, including: • Proven experience in automation‑focused QA roles, • Experience developing both manual and automated tests for Web Applications, • Strong skills in TypeScript and JavaScript (React experience beneficial), • Hands‑on experience with Playwright, as well as tools like Cypress, or Selenium, • Solid understanding of the software development lifecycle and agile practices, • Experience building and deploying CI/CD pipelines, • Familiarity with test management tools (e.g. Xray, JIRA), • Experience with BDD frameworks (Gherkin / Cucumber), • Experience working in domains that involve high complexity and demanding security requirements, • Excellent analytical, problem solving, and communication skills, • A detail‑driven approach and passion for continuous improvement What’s in It for You • Salary up to £70,000, • Commission plan, • Comprehensive benefits package, • Fully remote working within the UK, • The opportunity to shape and mature quality engineering within a scaling tech organisation, • The opportunity to work with the latest technology, • Exposure to complex, meaningful systems and long term career progression Please note: Candidates must have full right to work in the UK. Sponsorship is not available.

Are you looking for a new Challenge? Our ESS Business Unit is having a great opportunity for you!! We are looking for a Solution Engineer based in UK to work with EURegion! Job Responsibility • Provide ESS technical solutions for EU region based on support from HQ solution team, • Make ESS technical clarification, technical meetings at presales period., • Support sales to Investigate potential clients for ESS business, including Residential, C&I, Utility projects., • Provide ESS product installation and commissioning support on site., • Provide ESS after service site support if necessary for EU region Qualification Criteria • Bachelor degree or above, Electrical engineering., • Five years above workting experience in renewable energy industry, better in ESS business (C&I or Utility)., • Have good understanding of preliminary and secondary electrical drawings., • Have solid knowledge of C&I or Utility ESS product and system design., • Have good understanding of batteries, PCS, EMS or whole ESS systems. Language Requirements • Fluent in spoken English and writing, • Ideal another language from EU.

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

About MosaiQ MosaiQ is a fast-growing AI company transforming how professional-services firms operate. We work with consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations to turn their expertise, judgment, and workflows into AI-powered systems — deployed in days, not months. This is not “AI tooling for demos.” This is production AI embedded into real decision-making and revenue-critical workflows. Our Uniqueness • We reverse-engineer real work, not abstract use cases, • We map tacit knowledge and judgment, not just data, • We build hybrid AI + human systems that actually get used, • We augment experts rather than replace them, • We deploy custom AI directly into business processes, with measurable impact, • We work hands-on with decision-makers who value speed, quality, and judgment The Role We are looking for a Senior Full-Stack / AI Engineer to work closely with the founding team and the core team to design, build, and deploy real AI systems for demanding professional-services clients. You will not be handed toy problems or isolated tickets. You need to be a system thinker and ready to tackle complex problems. You will help turn messy, high-stakes workflows into robust AI-powered products, from architecture to deployment. Your work will directly shape MosaiQ’s platform, its AI modules, and how clients experience AI in practice. Your Responsibilities AI Systems & Product Engineering • Design and build AI-powered workflows end-to-end (backend, frontend, orchestration), • Implement and iterate on AI modules (LLMs, agents, retrieval, evaluation loops), • Translate real business processes into reliable, testable systems, • Balance speed, robustness, and long-term maintainabilityFull-Stack Development, • Build and evolve product interfaces used by real clients, • Develop APIs, services, and data pipelines supporting AI workflows, • Own features from concept → implementation → deployment, • Contribute to platform architecture and core componentsAI Implementation & Quality, • Design prompts, system instructions, and evaluation criteria, • Implement human-in-the-loop workflows where judgment matters, • Debug failure modes, hallucinations, and edge cases, • Improve reliability, consistency, and explainability of outputsCollaboration & Product Thinking, • Work directly with the founder on product direction and trade-offs, • Sit close to client problems to understand real constraints, • Help shape what becomes reusable platform capability vs. bespoke logic, • Document patterns, learnings, and internal building blocks Who You Are You’ll thrive here if you: • Are a senior builder, comfortable owning systems end-to-end, • Enjoy understanding how businesses actually work, not just code in isolation, • Think in systems, workflows, and failure modes, • Write production-grade code, • Use AI tools daily to accelerate your own work, • Understand trade-offs between speed, correctness, and scalability Core skills • Have built AI products beyond demos or notebooks, • Have experience with:, • LLM orchestration / agents, • RAG systems and knowledge layers, • Evaluation frameworks for AI outputs, • Have used tools such as:, • LangChain / LangGraph / similar, • Claude / OpenAI APIs in production, • Vector databases, embeddings, structured retrieval, • Have worked in consulting, finance, legal, or other knowledge-heavy environments, • Can turn ambiguous, real-world problems into clean technical designs Mindset That Matters • Builder mentality — you ship, iterate, and improve, • Bias to action — progress today beats perfect next quarter, • Ownership — you take responsibility for outcomes, not just tasks, • Product thinking — you care how systems are used, not just how they’re built What You Gain • Direct exposure to real client problems and high-stakes use cases, • The chance to build serious AI systems, not slideware, • Deep experience turning expert workflows into AI-powered products, • A central role in shaping MosaiQ’s technical and product foundations, • The opportunity to grow into a core technical leader as the company scales

Principal Data Engineer Location: United Kingdom Our Client They are a global content solutions company, powered by technology and human expertise. They help organisations grow the value of their ideas, data, and content by enabling them to be understood - everywhere. With over 45 AI patents, industry-leading technology, and expert talent, they support more than 80 of the world’s top 100 brands. Their teams operate across 60+ locations worldwide, delivering solutions that accelerate time-to-market, deepen customer engagement, and unlock new global opportunities. Role Overview As Principal Data Engineer, you will be a senior technical leader responsible for shaping the architecture, scalability, and evolution of the enterprise data platform. This role goes far beyond delivery. You will define technical strategy, design scalable data systems, mentor senior engineers, and partner closely with product, engineering, analytics, and business leaders to transform strategic goals into robust, data-driven solutions. You will have significant autonomy to influence architectural decisions, introduce best practices, and create a lasting technical legacy across the global data ecosystem. Key Responsibilities • Lead the design and evolution of scalable, secure, and reliable data architectures supporting BI, analytics, and ML workloads., • Define and drive data engineering standards, architecture patterns, and best practices across teams., • Influence technical strategy across engineering, product, and analytics through clear communication and stakeholder collaboration., • Anticipate future data needs, balancing long-term vision with pragmatic delivery., • Own reliability, performance, and observability of critical data systems, including SLO definition and operational resilience., • Mentor and develop senior data engineers through architecture reviews, technical coaching, and knowledge sharing., • Champion data quality, governance, monitoring, incident response, and cost optimisation., • Evaluate emerging tools and technologies, guiding adoption where they deliver genuine business value. Skills & Experience • Extensive experience designing and operating large-scale, cloud-based data platforms., • Deep expertise in data engineering fundamentals: data modelling, pipeline orchestration, distributed systems, and performance optimisation., • Strong architectural judgement, balancing technical excellence with business outcomes., • Proven leadership and influence across cross-functional teams., • Demonstrated success mentoring senior engineers and scaling team effectiveness., • Exceptional communication skills, including technical writing, documentation, and executive presentations., • Strong business acumen with the ability to connect technical decisions to measurable ROI. Desirable Experience • Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer)., • Metadata management and data cataloguing (e.g., DataHub, Alation)., • Modern orchestration platforms (Airflow, Prefect, Dagster)., • Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code., • Data mesh or decentralised data architecture implementations., • Model Context Protocol (MCP) for data assets., • Open-source contributions or active participation in the data engineering community.

Database Engineer (PostgreSQL & Python) - MUST BE BASED IN THE UK • Opportunity for a Database Engineer (Junior/Mid/Senior) to join a remote-first, UK-headquartered technology business, • Competitive salary between £45,000 - £70,000 + excellent benefits including remote working, autonomy, and the chance to work on an Educational AI platform WHO WE ARE: We are a remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central to the platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You’ll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: • Remote-first working model, • Autonomous, trusted working environment, • Collaborative and inclusive engineering culture, • Opportunity to work closely with AI and Data Science teams, • Clear ownership and technical influence, • Long-term, permanent role, • And more… WHAT WILL YOU BE DOING? As a Database Engineer, you’ll sit at the intersection of database administration and software engineering. You’ll be responsible for building and maintaining high-availability PostgreSQL environments, ensuring performance, security, backups, replication, and recovery are robust and reliable. Alongside this, you’ll write production-quality Python to automate database operations, build bespoke tooling, and support the evolution of the wider data platform. You’ll contribute to database migrations and scaling initiatives, enable clean data access across services via APIs, and document standards and processes to support a distributed development team. This is a hands-on role with a strong focus on long-term platform health rather than short-term fixes. DATABASE ENGINEER – ESSENTIAL SKILLS • Expert-level PostgreSQL experience (complex queries, schema design, optimisation), • Strong Python skills, writing production-quality, testable code, • Experience with database performance tuning, backups, replication, and recovery, • Understanding of data integrity, security, and best practices, • Experience working in a collaborative, distributed engineering environment, • Strong problem-solving skills with the ability to communicate technical concepts clearly, • Full right to work in the UK (no sponsorship) TO BE CONSIDERED… Please either apply by clicking online or emailing me directly at . By applying to this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

Job Spec - Backend Engineer About Beacon Beacon is building the AI Supply Chain workspace that customers really want. We're building end-to-end visibility, automated workflows, and effortless collaboration that create material savings and unlock new value for our customers. Backed by leading venture investors we’re a team passionate about product and solving the most complex day-to-day problems our customers experience. We ship fast, learn faster, and believe the best product wins. The Role We're looking for a backend engineer with strong fundamentals who leverages AI tooling to move fast and ship pragmatic solutions. You'll own significant parts of our platform, lead technical initiatives, and scale infrastructure as we grow. Individual ownership, proactive problem-solving, and using AI to accelerate delivery are essential. What you’ll do: • Contribute and lead new technical and product initiatives, • Take a hands-on approach to design, architecture, development, and deployment of pragmatic software that powers Beacon's platform, • Conduct thorough code reviews and seek out simplicity What you’ll need: • 3+ years Java & Spring Boot, • AWS service development and deployment, • Solid expertise in backend development, microservices architecture, and CI/CD best practices, • Track record maintaining secure applications in production, • Strong written and verbal communication skills, • Growth-oriented mindset, • Early-stage startup experience Nice to haves: • SQL, ElasticSearch, GraphQL, • GitLab CI/CD pipelines, • Fullstack skills including Typescript, React, Styled-components, HTML & CSS, • Supply chain domain knowledge

LinkedIn applications will be ignored, please send your CV and a short (non-AI) cover letter to Build the trust layer for AI in Higher Education ShowMyAI is building the infrastructure for AI transparency in universities - helping students, educators, employers, and regulators understand how AI is used, not just whether it was used. We’re looking for a Founding Engineer to partner closely with the founder to design and build the MVP from first principles. Why this matters AI use in education is accelerating while trust, policy alignment, and verification are lagging behind. ShowMyAI exists to close that gap by making AI use transparent, auditable, and fair. This is a chance to shape a product that could become core infrastructure for responsible AI in Higher Ed. Restoring academic integrity and empowering students to use AI in responsible way. What you’ll do • Architect and build the initial MVP (LTI-first, LMS-integrated), • Make foundational technical decisions across backend, data models, and integrations, • Build LLM interaction tracking, verification flows, and regulator-ready exports, • Collaborate directly with the founder and designer on product direction and roadmap, • Set technical standards and culture from day one About the founder The company is led by a founder with 12 years’ experience in EdTech, most recently helping scale a startup from zero to eight-figure ARR, culminating in a strong exit last year. The founder’s background is in go-to-market, partnerships, and growth; allowing the founding engineer to focus on building the product properly, while adoption and commercialisation are handled in parallel. What we’re looking for • Strong experience as a backend or full-stack engineer, • Comfortable working early-stage with ambiguity and ownership, • Experience with APIs, authentication, integrations, and data security, • Interest in AI systems, education, or responsible technology, • Pragmatic, opinionated, and collaborative mindset, • Founder experience isn’t required, good judgement and curiosity matter more. What’s on offer • Competitive Salary between £70-£80K, • Founding-level equity, • High autonomy and real technical ownership, • Direct influence over product direction, • Opportunity to build meaningful infrastructure in EdTech & AI, • Remote-first (UK) Interested? Please send your CV and a short (non-AI) cover letter to

Description Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo We are looking for a Senior Engineer to establish and lead our new Developer Experience team. This team’s mission is to improve engineering productivity, consistency, and satisfaction by building and maintaining the systems, processes, and tooling that underpin our Software Development Lifecycle (SDLC). You will shape how our engineers build, test, release, and monitor software, ensuring frictionless workflows while keeping ownership of business logic, test quality, and development practices firmly with the product engineering teams. This is a hands-on role with significant influence: you will design systems, implement tooling, measure productivity gaps, and drive adoption of better practices across the engineering organisation. Requirements • CI/CD Infrastructure & Tooling, • Own and operate CI/CD systems (GitHub Actions, runners, caching, artifact storage)., • Maintain stability, scalability, and cost-effectiveness of pipelines., • Build and maintain systems for our monorepo., • Ensure CI/CD observability, with metrics flowing into Datadog/Slack., • Pipeline Instrumentation & Optimisation, • Analyse pipelines for inefficiencies (e.g., flaky tests, redundant steps, lack of caching)., • Recommend and implement optimisations (parallelisation, test selection, caching strategies)., • Define benchmarks and KPIs (e.g., build times, flakiness %, cost per run)., • Measure and report on productivity gaps (e.g., time lost to flaky tests, slow builds, manual release steps)., • Onboarding & Documentation, • Maintain up-to-date documentation on SDLC processes, CI/CD, release flows, and GitHub usage., • Provide templates, playbooks, and starter kits., • Automate repetitive onboarding processes., • GitHub & SDLC Guardrails, • Own GitHub governance (branch protections, repo standards, integrations)., • Implement base SDLC guardrails (PR templates, code owners, security scans)., • Ensure compliance requirements are integrated into pipelines., • Monitoring & Incident Flow, • Set up alerts for pipeline health regressions., • Provide first-level triage to distinguish infra vs. test vs. dependency issues., • Escalate to the correct engineering team and ensure test ownership is tracked., • Release Management Support, • Build tooling for release notes, changelogs, packaging, and deployment., • Standardise release processes across services., • Enable customer-facing packaging and deployments, without owning release decisions., • Change Management & Adoption, • Identify friction in developer workflows through metrics, surveys, and incident data., • Drive adoption of DevEx improvements by partnering with engineering teams, running enablement sessions, and monitoring uptake., • Define test strategy, coverage, or quality gates (owned by engineering teams)., • Own microservice/domain documentation., • Proven experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI, CircleCI)., • Strong background in SDLC practices and developer productivity tooling., • Hands-on experience with infrastructure automation (e.g., Docker, Kubernetes, IaC with Terraform, Ansible or Pulumi)., • Familiarity with observability & monitoring (Datadog, Prometheus, or similar)., • Experience managing or improving monorepo build systems., • Strong ability to measure developer productivity gaps and define KPIs., • Experience in driving adoption of change in engineering organisations., • Experience in release engineering or building developer-facing platforms., • Background in Software Engineering, SRE or infrastructure engineering, with a strong developer tooling focus., • Knowledge of compliance-driven SDLC requirements (e.g., ISO 27001, SOC2)., • Join a pioneering joint venture at the intersection of AI and industry transformation., • Work with a diverse and collaborative team of experts from various disciplines., • Opportunity for professional growth and continuous learning in a dynamic field.

Embedded Software Engineer/ Consultant As an Embedded Software Engineer, you will get to tackle diverse, real-world challenges. Typically, this will involve going through the whole product life cycle, you will capture requirements, design, develop, document, test, and deliver through to production. My client variety of projects, from proof-of-concept through to working prototypes, provide both intellectual and practical challenges. Requirements: My client is looking for any candidate from a research heavy PhD background or candidates with a strong academic background or 2+ years of experience within an Embedded Software role. Skills that would be helpful for you to be familiar with: • design and implementation of technological solutions, • Linux, and programming in C and at least one other language (such as C#, C++, MATLAB), • Bare metal/RTOS software development on ARM targets, • High level software architecture, • Embedded software debugging methods, • Electronics development and/or hands-on debugging, • Scripting for test or signal processing (for example in MATLAB, Python) My client is looking for driven candidates who are highly motivated to be in a customer facing role while remaining technical. Details: • Candidates must be sole British and happy to go through the relevant security clearances., • Onsite role, based just south of Cambridge., • Salary DOE., • Private medical insurance for you and your family., • Life insurance X6 salary. If this role is of interest then please apply or send your CV to

Title: Co-Founder / Fractional Chief Technology Officer Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer or technical founder with end-to-end ownership experience, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

Reports to: Technology Director / Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, we’re launching an Innovation Labs function—an agile environment to rapidly design, build, and test new client-facing digital products and AI Agents. The Senior Product Engineer will be at the heart of this, working alongside the Technology Director and the Innovation Labs' Data Scientist. You’ll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agents—bringing Serve Legal’s data and insights to life for clients. You already have solid engineering foundations and work with AI enabled IDEs (Cursor, Windsurf, etc), but you are keen to use AI powered platforms to develop applications (e.g. Lovable, Replit, Bolt). This is a startup-style role inside an established SME, with freedom to experiment, fail fast, and iterate—balanced with accountability to deliver deployable, client-ready digital products. What You’ll Do • Design & Build Prototypes: Leverage AI tools to engineer digital prototypes and MVPs that translate Serve Legal’s datasets into usable, scalable products. Develop APIs, dashboards, and interactive client tools and agents for compliance and consumer insight., • Run Innovation Labs Engineering: Partner with the Data Scientist to test, refine, and productionise algorithms and models. Apply lean/agile principles to develop proof-of-concepts quickly and effectively., • Incorporate AI-enabled platforms, low-code/no-code accelerators into the team´s workflow., • Product Engineering & Deployment: Build robust, cloud-native environments that allow rapid experimentation and easy scale-up. Ensure seamless transition of prototypes into production in collaboration with Serve Legal’s data team., • Champion Product Innovation: Translate business and client needs into clear product engineering solutions. Act as a bridge between technical prototypes and client-facing experiences. Core Skills & Mindset • Inventor + Builder – enjoys building tangible products that bring AI, data and algorithms to life., • AI supportive - believes that the right AI tooling can help inform and expedite delivering value., • Full-Stack Thinker – comfortable across front-end, back-end, API and AI development., • Agile Operator – thrives in MVP cycles, rapid prototyping, and iterative delivery., • Commercial Awareness – understands client-facing product needs, UX, and scalability., • Collaborative Spirit – works fluidly with data scientists, commercial teams, and ops leaders. Hard Skills Required • Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python), • Web & Product Development: Frameworks (React, Node.js, Django/Flask), • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama, • Agentic AI: Frameworks (langchain, langgraph, Google ADK), • AI enabled code tooling: Cursor, Windsurf, GitHub copilot, • AI powered platform development: Lovable, Replit, Bolt, • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures, • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines, • Data Integration: Products integrating ML/AI models, databases, BI tools, • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys, • Other: Version control (Git/GitHub), testing frameworks, security & optimisation Experience That Helps • 6–10+ years in software/product/AI engineering with a track record of building client-facing products, • Proven experience in rapid prototyping, innovation labs, or product R&D teams, • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning, • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous), • Prior startup or SME experience where engineers own end-to-end delivery is highly valued What’s in It for You • The chance to design, build, and launch new digital products inside a market-leading SME, • Freedom to experiment and engineer with AI in a greenfield innovation function, • Remote-first flexibility, with in-person collaboration when needed, • Access to unique compliance and consumer datasets, • Competitive salary and the opportunity to shape Serve Legal's future offering

Ciklum is looking for a Senior Intelligent Automation Engineer to join our team full-time in the UK. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. Responsibilities: • Own and drive end-to-end automation and AI transformation initiatives—translating business objectives into actionable product roadmaps and technical requirements, • Lead stakeholder engagement, facilitating workshops, interviews, and design sessions to uncover pain points, assess opportunities, and define automation and AI-enabled use cases, • Collaborating with development teams to prioritize and deliver AI and automation solutions aligned to business value and strategic outcomes, • Design, evaluate, and validate business cases for automation and AI initiatives, clearly articulating ROI, efficiency gains, and strategic benefits, • Champion innovation, helping clients understand and leverage emerging technologies such as Generative AI, Process Mining, Intelligent Document Processing (IDP), RPA, Low Code/Workflow platforms, and Conversational AI, • Ensure governance and ethics are embedded in all AI solutions, addressing topics such as data quality, bias, model interpretability, and responsible AI deployment, • Monitor adoption and success metrics, using feedback and performance data to iterate and continuously improve delivered solutions, • Educate and influence client teams through thought leadership, training, and demonstrations on the business value and risks of AI-driven automation, • Stay ahead of the curve by researching market trends, technologies, and frameworks to continuously evolve the firm’s automation and AI offerings Requirements: • Bachelor’s degree or higher (STEM, business, or related discipline), • Proven experience leading automation or AI initiatives,ideally in a consulting, product management, or digital transformation capacity, • Strong understanding of Intelligent Automation technologies (RPA, Process Mining, IDP, Workflow, Conversational AI) and advanced AI models (including Generative AI), • Hands-on experience working with technology teams to define product backlogs, write user stories, and manage delivery in agile or hybrid environments, • Able to evaluate complex problems, define KPIs, and translate insights into clear technical and business requirements, • Excellent stakeholder management skills, capable of engaging senior executives and technical teams alike to influence outcomes and drive alignment, • Awareness of ethical and regulatory implications of AI adoption, including bias, transparency, and responsible use, • Strong communication and storytelling skills, with the ability to simplify complex technical concepts for non-technical audiences, • Consulting mindset professional, adaptable, and comfortable working across industries and fast-paced client environments, • Willingness to travel to client sites when required What`s in it for you? • Strong community: Work alongside top professionals in a friendly, open-door culture that values initiative and empowers its people to succeed, • Fast-paced & agile environment: Be part of a dynamic, fast-moving organization that champions efficiency and innovation, • Global exposure: Collaborate with international, cross-functional teams and contribute to large-scale initiatives, • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications, • Flexibility: Balance office and remote work to fit your rhythm Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

Position Title: Electrical Engineer – BESS Salary: £45K - £55K + bonus Location: United Kingdom Your New Employer You’ll be joining a globally respected energy solutions provider at the forefront of utility-scale battery energy storage. With a strong track record in grid-connected projects and an international footprint, the business delivers full turnkey BESS solutions for some of the most complex and demanding sites across Europe. They combine deep engineering expertise, in-house R&D, and proven project delivery capability to help developers, IPPs and utilities bring technically robust, bankable projects to life. With growing demand in the UK and Ireland, the team is expanding and now looking for an Electrical Engineer who wants to sit close to the commercial action while still working hands-on with system design. Your New Role As Electrical Engineer, you’ll sit within the commercial team and act as the technical backbone for bids, tenders and customer proposals. From the first enquiry, you’ll interpret client specifications, develop electrical concepts and single line diagrams, size key components, and support the configuration of battery, inverter and balance-of-plant equipment. You’ll work closely with Senior Tendering Engineers and the sales team to translate customer requirements into compliant, optimised technical solutions - including layouts, loss calculations, cable schedules and protection philosophies – while feeding into costings and pricing models. You’ll liaise with product and R&D teams to validate configurations, support grid connection studies with an understanding of DNO/TSO requirements, and prepare the technical sections of proposals, presentations and clarifications. Over time, you’ll become a go-to person for practical design input on live opportunities, helping shape projects that can be delivered safely, efficiently and profitably. Your Background You’ll be a degree-qualified Electrical or Power Engineer and have some experience working on either BESS or solar projects. You understand how electrical systems are put together in the real world, from concept design and equipment selection through to installation and commissioning, and you are comfortable reading and producing single-line diagrams, cable sizing, and protection/coordination concepts. Exposure to grid-connected projects, DNO/TSO interfaces, and standards such as G99 or equivalent is highly valued. You enjoy working at the intersection of technical detail and commercial decision-making, are confident speaking with both engineers and non-technical stakeholders, and can balance compliance, performance and cost when proposing solutions. Prior experience supporting tenders, proposals or design-and-build EPC projects in BESS or renewables would be a strong advantage. In Return You’ll join a growing, international business where engineering is genuinely central to commercial success. This role gives you direct visibility of major deals, close collaboration with senior sales and technical leaders, and a clear path to progress into senior tendering, applications or project engineering positions. You’ll work on high-impact BESS schemes that are shaping how storage is deployed across the UK and Europe, with access to strong technical resources, supportive leadership, and cross-border project exposure. Alongside a competitive salary and performance-related bonus, you can expect flexible working, ongoing professional development, and the chance to build a career at the cutting edge of grid-scale energy storage.

Software Engineer – £65,000–£85,000 + Equity – Remote (UK) - London office if preferred The Opportunity 💻 Join a fast-growing, AI-native software company building workflow automation tools used daily by thousands of professionals across people-heavy industries. The platform removes manual, repetitive work through AI, automation and thoughtful product design, helping teams move faster and focus on higher-value tasks. You’ll join at an exciting scale-up stage where the product has strong traction, real revenue and clear product-market fit, but still plenty of greenfield engineering challenges ahead. This is a role for someone who enjoys ownership, autonomy and building features that customers genuinely rely on every single day. About the Role 💼 You’ll join a high-performing, collaborative engineering team where engineers are trusted owners, not ticket-takers. • Design, build and ship features end-to-end across the stack, • Develop scalable backend services in Python, • Own work from design through implementation, testing and deployment, • Help shape architecture and engineering standards as the platform scales, • Work closely with product, QA and other engineers to solve real customer problems The team values clean design, maintainable systems and thoughtful decision-making over rushing out short-term fixes. What You’ll Be Working On 🚀 • Backend services and APIs in Python, • Distributed systems and third-party integrations, • Workflow automation features powered by AI and LLMs, • Frontend product experiences used constantly throughout the day, • Reliability, performance and scalability as usage grows, • Continuous improvements to developer experience and code quality You’ll get breadth, impact and variety rather than being siloed into one small area. Skills and Experience 📈 • Strong experience building backend systems in Python, • Comfortable working across the stack or keen to grow into full-stack ownership, • Experience with APIs, integrations and distributed systems, • Startup or scale-up experience where you’ve shipped real product, • Product mindset, you care about why you’re building something, not just how, • Clear communicator who collaborates well with cross-functional teams, • Pragmatic, quality-focused engineer who values maintainable code, • Degree Nice to have but not required: • AWS or cloud infrastructure experience, • Browser/email extensions, • LLM or AI-powered features 📍 Location: Remote or Hybrid (UK-based team) 💰 Compensation: £65,000–£85,000 + equity 🏢 Team: Product-focused engineering, high ownership, low ego 🌱 Stage: High-growth scale-up with strong traction *No sponsorship offered Software Engineer – £65,000–£85,000 + Equity – Remote (UK) - London office if preferred

Job Title: Senior GCP Cloud Infra Engineer Location: Bristol, Leeds, Halifax, Manchester, Edinburgh- 2Days/week Onsite Duration: 6months+ Contract Inside IR35 550GBP/Day The Role We're looking to recruit Senior GCP Infra DevOps Engineer to be part of our Public Cloud Platform and help achieve our mission to provide compliant and efficient Google Cloud Infra, product and DevOps capabilities for the Group and drive innovation to enable customers to have rapid and seamless Google Cloud Adoption and build their business journeys more scalable, resilient and efficient . Your role will be part of a cross-disciplinary feature team in addition to being a highly experienced member of our wider Lloyds engineering team delivering change. Your role as a GCP Cloud Infra & DevOps specialist involves supporting teams with modern DevOps solutions, curating scalable GCP Cloud Products as IaaC. You'll learn new skills, technologies and approaches to software development as well as benefiting from a culture that celebrates diversity, equal opportunity. Your responsibilities: • Hands-on GCP Cloud Engineering with a strong GCP DevOps and CI/CD background, • Deep expertise in Infrastructure as Code (IaC) and proven experience in Terraform / Terraform Cloud., • Strong hands on experience on curating GCP Cloud Products and Infrastructure, • Build automated workflows around the products using Python Scripting., • Proficient in Google Kubernetes (GKE), Container, Istio Service Mesh, Cluster Management, • Audit and restructure existing Terraform modules and state files, • Migrate legacy configurations into unified, reusable templates, • Implement security-focused Terraform modules with embedded guardrails and policy-as-code (e.g., Sentinel, OPA), • Enforce GCP Org Policies with constraints like IP restrictions, network policy, Access Management, encryption, and region control for secure, compliant cloud governance, • CI/CD Integration, • Implement automation pipelines for infrastructure-as-code deployments Your Profile Essential skills/knowledge/experience: • GCP Cloud Engineering, GCP DevOps & Infra, • Terraform / Terraform Cloud (IaaC), • Python Scripting., • Harness, Jenkins, GitHub, • Google Kubernetes (GKE), Container, Istio Service Mesh, • GCP Organisation Policy, Custom Org Policy (Policy as a Code) – Sentinel/OPA, • GCP and Terraform Certified, • Good to have experience working in an IDE Platform for Cloud Engineering (e.g. Backstage) Desirable skills/knowledge/experience: Looking for Senior Engineering Skills as GCP Cloud SMEs who has contributed also as a Technical Consultant in guiding Design, Architecture and Strategy. Bringing in thought leadership in driving innovation, best practices Good communicator, collaborator and Leader with experience on working with multiple organisational stakeholders. Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email: