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(Senior) Research Software Engineer - AI Co-Scientist Systems Job Title (Senior) Research Software Engineer - AI Co-Scientist Systems Post Number Closing Date 20 Aug 2026 Grade SC6/SC5 Starting Salary Salary: £38,000-£52,560 Hours per week 37 Project Title Generative Digital Biology: AI Co-Scientist Systems and Lab Automation Expected/Ideal Start Date 07 Sep 2026 Months Duration 36 Job Description Main Purpose of the Job The post holder will take a research-active software engineering and AI systems role in the AI for Biology Group, building the AI-agent-driven platform required for Generative Digital Biology. The role will connect foundation models, scientific tools, biological datasets, experimental design algorithms, lab automation workflows, robotics interfaces and human in the loop scientific decision making. This is a platform building research role, not a conventional bioinformatics software support post. The successful candidate will contribute intellectually to research, develop publishable AI systems, build open source software and demonstrators, co author research outputs and support competitive grant applications. The role would suit a highly capable computer scientist, AI systems researcher, robotics engineer or research active software engineer who wants to build the technical backbone for AI driven biological discovery. A key objective will be to develop an AI co scientist demonstrator for the group and the Institute: a platform that can show how AI agents can interact with human scientists via virtual/augmented reality, reason over biological questions, call scientific tools and APIs, use foundation models, design experiments, interface with computational and physical workflows, and support rigorous, auditable and reproducible scientific discovery. The post holder will work closely with the other AI for Biology appointments. Foundation model research in the group will provide biological representations and predictive models; generative and causal AI research will provide design and experimental decision algorithms; this RSE role will build the software, agentic workflows, tool registries, automation interfaces, provenance mechanisms and demonstrator environment that connect these components into a usable scientific discovery system. This will be a highly collaborative role embedded across EI. The post holder will work with EI colleagues and platforms to connect AI designed hypotheses and candidates with biological data, experimental design and validation routes, including potential collaborations with Earlham Biofoundry and engineering biology colleagues on AI-guided design build test learn cycles; with Cellular Genomics and Single cell and Spatial Analysis on perturbation, cell state and single cell/spatial omics use cases; and with BioFAIR, ELIXIR UK, Open and FAIR Data and Research e Infrastructure colleagues on AI ready design datasets, benchmarks, provenance and reproducible workflows. Prior experience in lab automation is desirable but not essential. We particularly welcome candidates with exceptional computer science, large scale machine learning systems, robotics or software engineering backgrounds who are motivated to apply their skills to biological discovery and to learn the relevant biological and automation context. Key Relationships INTERNAL: Reporting to Professor Ke Li, the post holder will work closely with the AI for Biology Group and collaborate across EI's research programmes, National Bioscience Research Infrastructures, Research e Infrastructure and technology platforms. Key internal relationships are expected to include Earlham Biofoundry and engineering biology colleagues for lab automation, robotics interfaces and design build test learn workflows; Research e Infrastructure for HPC/GPU/cloud, reproducible software and scalable model deployment; BioFAIR, ELIXIR UK and Open and FAIR Data colleagues for AI ready resources, provenance, data/model documentation and interoperable workflows; Cellular Genomics and Single cell and Spatial Analysis for biological use cases; and relevant EI groups working on plants, microbes, biodiversity, health, genomics and data intensive bioscience. EXTERNAL: The post holder will interact with UK and international collaborators in AI, AI agents, machine learning systems, research software engineering, robotics, laboratory automation, autonomous experimentation, computational biology, engineering biology, genomics, plant science, human health and therapeutic discovery. External collaborations may include academic, public sector, infrastructure, clinical and industry partners where appropriate. Main Activities & Responsibilities Design and build the AI Co Scientist system/software architecture for the GDB programme, including agent orchestration, tool registries, model interfaces, workflow execution, data/model versioning and provenance tracking. For appointment at SC5, take technical and operational leadership of a defined AI Co Scientist platform or workstream; own the architecture, roadmap, milestones and technical risk decisions; and deliver the work with limited supervision (essential for SC5). 20 Develop AI agent workflows for scientific reasoning, literature/data retrieval, tool use, planning, hypothesis generation, experimental design, result interpretation, iterative refinement and human in the loop decision making. 15 Build software interfaces connecting AI agents with biological datasets, foundation models, generative models, Bayesian experimental design, optimisation algorithms, benchmarking tools and HPC/GPU/cloud resources. For appointment at SC5, coordinate cross platform integration, define interface contracts and engineering standards, resolve technical dependencies, and ensure coherent delivery across AI, data, infrastructure and automation partners (essential for SC5). 15 Develop interfaces to lab automation, robotics, biofoundry workflows, instrument control APIs, LIMS/ELN systems, digital twin/simulation environments or related physical AI workflows where appropriate. 15 Build an interactive AI Co Scientist demonstrator environment for research, collaboration, grant development and institutional showcase purposes. 10 Implement robustness, safety, permissioning, sandboxing, audit trails, provenance, reproducibility, monitoring and responsible use/dual use aware controls for AI systems operating in biological contexts. For appointment at SC5, define and lead implementation of software quality, testing, security, provenance, auditability and safe tool execution standards, including design/code review and release readiness decisions (essential for SC5). 10 Contribute intellectually to research papers, conference submissions, technical reports, open source software releases, demonstrations, presentations and community resources. For appointment at SC5, lead major software releases, demonstrators and technical/research outputs, and represent the work in relevant internal and external forums (essential for SC5). 10 Contribute to collaborative projects, competitive grant applications, documentation, testing, responsible data handling and long term platform strategy for the AI for Biology Group. For appointment at SC5, make substantive contributions to grant development and long term platform strategy, and provide technical guidance or mentoring to junior researchers or engineers (essential for SC5). 5 As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing, Data Science, Computational Biology or a closely related quantitative discipline Essential Specialist Knowledge & Skills Requirement Importance Strong hands on software engineering ability, evidenced through substantial implemented systems, research software, open source code, AI/ML platforms, robotics/automation software or scientific computing projects Essential Experience designing, implementing and maintaining complex research software systems, AI systems, agentic workflows, robotics/automation software, scientific platforms or data intensive computational infrastructure Essential Experience with modern AI systems or scientific computing systems, such as large language models, tool-using agents, retrieval augmented generation, workflow orchestration, model APIs, machine learning frameworks, and the ability to develop agentic workflows for scientific applications Essential Understanding of, and commitment to, trustworthy AI, robustness, safety, provenance, auditability, sandboxing, permissioning, monitoring or dual use aware AI workflows for biological applications Essential Ability to build robust, maintainable and reproducible software using version control, testing, documentation, containers, APIs, databases, workflow tools, CI/CD and deployment on HPC, GPU, cloud or distributed computing environments Essential Demonstrable practical experience designing and building AI-agent, multi agent or scientific agent systems, including relevant experience in orchestration, tool use and evaluation (essential for SC5) Desirable Experience with robotics, lab automation, self driving laboratories, autonomous experimentation, instrument control, liquid handling platforms, automated microscopy, microfluidics, sequencing workflows, biofoundry platforms, ROS/ROS2 or related hardware/software integration Desirable Experience with biological data, genomics, single cell data, imaging . click apply for full job details

Senior Application Security Engineer (SCA/SAST) Scale Security. Empower Engineers. Shape the Future. Location: UK - Remote The Mission At Trimble, we aren't just building software; we're transforming the way the world works. We are looking for a Senior Application Security Engineer who is more than a technical expert-you are a strategist and a catalyst for secure innovation. You will lead the charge in open-source security (SCA) and static analysis (SAST) across a massive global footprint, ensuring that security is a seamless part of the developer experience. Why This Role? Global Influence: You won't just be "fixing bugs." You will be the architect of a global security strategy that impacts 99% of our engineering teams. Strategic Autonomy: Lead the vision for our SCA and SAST roadmaps. You have the seat at the table to decide how we evolve. Innovation at Scale: Work across diverse tech stacks-from .NET and Java to Go and Python-integrating security directly into the heartbeat of our CI/CD pipelines. How You'll Make an Impact Strategic Leadership Act as the global SME for SCA and SAST, turning complex security requirements into scalable, automated solutions. Optimize our security tooling to be "developer-first," slashing false positives and focusing engineering energy on what truly matters. Shape the organizational approach to open-source security and license compliance. Engineering Excellence Embed security into the DNA of the SDLC by collaborating with architects and product owners worldwide. Automate everything. You'll build the "guardrails" that allow our developers to move fast without breaking things. Mentor the next generation of security talent and lead through influence across cross functional teams. Vision & Advisory Stay ahead of the curve. You'll evaluate emerging security tech and proactively keep Trimble at the cutting edge. Conduct threat modeling and architectural reviews to kill vulnerabilities before they are ever coded. The Profile We're Looking For The Architect: 5+ years in AppSec with a deep, battle tested mastery of SCA and SAST implementation at an enterprise level. The Polyglot: You speak the language of developers. Whether it's Java, C#, Python, or Go, you can read the code and provide real remediation paths. The Integrator: You live in the pipeline. You have hands on experience with GitHub Actions, Jenkins, Azure DevOps, or GitLab CI. The Communicator: You can translate "security risk" into "business value" for stakeholders and "clear action" for engineers. Education: Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience. How to Apply: Please submit an online application for this position by clicking on the "Apply Now" button located in this posting. Join a Values-Driven Team: Belong, Grow, Innovate. At Trimble, our core values of Belong, Grow, and Innovate aren't just words-they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter. Trimble's Privacy Policy If you need assistance or would like to request an accommodation in connection with the application process, please contact .

Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing. We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimise athletes' health, game-day readiness, and performance, as well as in-game tactics. Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. WE WANT PEOPLE WHO ARE PASSIONATE ABOUT DELIVERING INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS WHAT YOU'LL DO End-to-End Pipeline Contribution: Collaborate with senior data scientists, computer vision engineers and vertical teams to translate product requirements into practical computer vision solutions, helping design the pipeline from raw video ingestion to production inference. Algorithm & Model Development : Design, train, and evaluate deep learning architectures alongside classical computer vision pipelines (e.g., feature tracking, optical flow, and spatial filtering via OpenCV). Geometric Computer Vision : Develop robust mathematical pipelines for camera calibration, homography estimation, and coordinate mapping to ensure model spatial outputs are accurate and stable. Modern Cloud & Containerised Deployment: Focus on architecting and containerising Python-based cloud microservices (via Docker) as our primary, future-facing deployment model. Desktop Applications Support: Assist in compiling cross-platform native binaries or shared libraries linking against the ONNX Runtime C++ API to support and maintain our existing Windows/macOS desktop application footprint. Automated Data Curation : Help build intelligent, automated data-ingestion pipelines that utilise model-assisted pre-labeling to continuously clean and version high-throughput training datasets. Interface & Boundary Design: Participate in defining clean API boundaries and interface contracts to ensure our core data science modules integrate seamlessly into downstream vertical applications. WHAT YOU'LL NEED Core Algorithmic Background: Foundational knowledge of classical computer vision (multi-view geometry, object tracking, spatial transformation) and modern deep learning architectures (object detection, semantic/instance segmentation, transformer-based vision models). Production Model Training: Experience sourcing, structuring, training, and benchmarking deep neural networks using PyTorch or TensorFlow. Hybrid Language Skills: High proficiency in Python for prototyping, training, scripting, and deployment pipelines, combined with a practical, supporting capability to read, build, and debug existing C++ codebases (including exposure to build management tools like CMake). Execution Graph Optimisation: Familiarity with optimising model runtimes and inference execution graphs for real-time applications using TensorRT or ONNX Runtime (e.g., quantisation, layer fusion). Modern Infrastructure: Practical experience with Docker containerisation, version control (Git), and cloud platform execution (AWS). NICE TO HAVE Neural Architecture Customisation: Experience modifying, adapting, or designing custom neural network components (e.g., specialised backbones, attention mechanisms, or custom loss functions) rather than just implementing standard off-the-shelf models. Advanced Mathematical Foundations: A strong intuitive grasp or academic background in applied linear algebra and matrix calculus, particularly as it relates to 3D spatial transformations and projective geometry. Downstream Integration: Experience or familiarity with native application development tools (Visual Studio, Qt Creator) to help ease collaboration when handing off components to vertical app teams. Sports Video Benchmarks: Experience experimenting with or competing in open-source sports analytics datasets and challenges (e.g., SoccerNet, SportsMOT, or similar multi-object tracking and action-spotting benchmarks). Domain Alignment: A genuine interest in sports analytics, tracking technology, or elite human performance. WHAT YOUR SUCCESS WILL LOOK LIKE In 6 Months' Time Global Impact: Your work will be actively contributing to features underpinning informed decisions made by elite coaches and professional athletes globally. Collaborative Innovation: You will have partnered with the team to take an algorithmic feature from an abstract brief to a stable, deployable Python asset - actively bringing your own unique background, skills, and fresh ideas to the model selection and training process. Proactive Integration: You will feel completely up to speed with our workflows and comfortable actively identifying potential pipeline improvements, while seamlessly reviewing our existing cross-platform desktop deployment workflows to help support the team's legacy footprint. WHY CATAPULT? We have amazing people. We promise you'll work with some of the most ambitious, intelligent people in an exciting industry, and do some of the best work of your life. We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary. We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance. Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness. We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve. There is an unlimited opportunity to grow, do more, and do better. Whether you're interested in sports or not, you'll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalised groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do. All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture

Senior / Staff Machine Learning Scientist About Chemify: Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. This gives our computational scientists something rare: a direct, high-throughput bridge from in silico design to physically synthesised molecules, closing the design-make-test loop at a pace conventional drug discovery organisations cannot match. Location: Glasgow (onsite, full-time) or fully remote with regular travel to our Glasgow HQ / Chemifarm The Role We are seeking a Senior / Staff Machine Learning Scientist to work across the breadth of Chemify's platform - generative models for chemistry, search and planning for retrosynthesis, computer vision for telemetry from our robotic systems, and agentic workflows that tie it all together. You will partner with computational chemists, CADD scientists, software engineers, and hardware engineers, and apply AI/ML to build the next generation of Chemify's platform. What sets this role apart is the combination of breadth of ML problems - generative chemistry, vision, search, agents - paired with a robotic platform that turns your models into physical experiments. If working across a wide range of hard ML problems on a real-world platform sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Build generative and foundation chemistry models for molecular design. Advance retrosynthesis and synthesis aware ML by leveraging Chemify's reaction database and robot execution data. Apply computer vision to transform robot telemetry into models that monitor process state and feedback into experimental control. Prototype agentic workflows that orchestrate models, tools, and the platform - closing loops between proposal, execution, observation, and learning. Productionise models into a reproducible, API first toolkit; partner with Infrastructure on GPU training and HPC; maintain high standards of ML best practices, including rigorous evaluation, benchmarks, and reproducibility. Mentor junior ML scientists, partner with the Head of Advanced Machine Learning on hiring and growth, and represent Chemify's AI/ML capability externally. (Staff level) Set technical direction across the AI/ML stack; lead cross cutting initiatives spanning chemistry models, retrosynthesis, vision, and agents. About You You are an experienced ML scientist who is equally comfortable training models and shipping the code that other people end up building on. You care about whether your model changes a real decision - not just whether it beats a benchmark. You're at home moving across problem types, from generative models to vision to search. We expect you to bring: PhD or equivalent experience in Machine Learning, Computer Science, Statistics, Physics, or a related quantitative field - 5+ years (Senior) or 8+ years (Staff) of hands on applied ML experience, including production grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search and planning (MCTS, A ), or agentic / RL systems. Experience taking ML from prototype to production: reproducible pipelines, distributed jobs, and batch workflows on cloud (AWS / GCP / Azure) or HPC. Strong scientific computing instincts: clean Python, careful experiment design, leakage aware splits, and rigorous benchmarks. Clear communication with non ML scientists and engineers and a willingness to pick up new domains (you don't need to know chemistry on day one). (Staff level) A track record of technical leadership: mentoring, setting standards, and influencing scientific and technical direction beyond your own projects. Beneficial Skills Practical experience with active learning, Bayesian optimisation, conformal prediction, or uncertainty quantification in iterative real world loops. Familiarity with retrosynthesis ML, computer aided synthesis planning (CASP), or reaction condition / yield prediction. Working knowledge of how ML fits into a drug discovery or materials design workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) - or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field - peer reviewed publications, open source contributions, or public projects that demonstrate your judgement on real ML problems. Why Join Chemify? Impact: Your models will directly shape what Chemify's robotic platform proposes, plans, and observes - at a company uniquely positioned to close the loop between design and physical experiment. Autonomy: Reporting to the Head of Advanced Machine Learning, you will work across the AI/ML problems with the most impact, and have meaningful influence over the direction of our AI/ML capability. Ambition: We are a Series B deep tech company investing in world class infrastructure and tackling problems at the frontier of AI, robotics, and chemistry. You will have the resources and the mandate to do AI/ML in a way that isn't possible elsewhere - across chemistry, vision, search, and autonomous systems on the same platform. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Design Retro & Advanced ML Job Title Senior / Staff Machine Learning Scientist

We are looking for a Senior AI Engineer to join our growing Applied AI team. This is ahands-on, technically demanding role for someone who can contribute to building production AI systems while helping raise the technical bar of the team around them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems- RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration;selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems- tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering tooling, including coding assistants,configurable permissions models,internal skills and plugins architectures, and sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. Optimisemodel inference and end-to-end pipelines for speed, cost, memory footprint, and scalability, including for CPU-constrained andairgappeddeployment targets. Develop andmaintainproduction-grade model pipelines and supporting software with strongMLOpspractices - covering real-time inference, batch processing, performance monitoring, drift detection, scheduled retraining, observability, governance, version control, and reproducibility. Providetechnicalguidance- architectural input, peer review, and mentoring of mid-level and junior engineers through code review, pairing, and knowledge sharing - raising the technical bar of the team and shaping secure, scalable, high-performing AI solutions. Work within Agile delivery teams - collaborating with data, platform, and software engineers to integrate AI into products, communicating clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine learning engineering and development - academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential -withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with an MScrequiredand a PhD highly desirable. Deep hands-on experience withPyTorch, Scikit-learn, and the Hugging Face ecosystem, with familiarity withMLFlowandAzureML; capable of making architecture and implementation decisions. Strong competence with Git, pull requests, automated testing, CI/CD,MLOps, and ML pipelines; experience with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals - feature engineering, statistical analysis, experimental design, and model monitoring - alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model selection, and resource-efficient deployment. Communicate clearly, translating complex technical work into actionable recommendations, and produce high-quality documentation including technical decision records. Operate independently and make sound technical decisions within complex, ambiguous contexts, witha track recordof owning problems end-to-end. Prior cybersecurity or business domainexpertiseis not a prerequisite, although would be highly relevant. We encourage you to apply even if your experience is not a 100% match with the position. Beneficial Knowledge, experience, and values Familiarity with containerisation (Docker, Kubernetes), event-driven or microservices architectures, and distributed data processing at scale. Experience with embedding pipelines, vector search, and semantic retrieval for RAG systems. Knowledge of LLM evaluation techniques including structured evals frameworks, hallucination mitigation, benchmarking, and human-in-the-loop evaluation. Understanding of AI safety, responsible AI principles, governance, and regulatoryand standardsawareness (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001), including bias detection, explainability, and auditability. Familiarity with security best practices in AI systems, particularly around prompt injection risks, data handling, and model misuse. Understanding of AI applied in cybersecurity contexts, including concept drift, adversarial robustness, andmodel assurance challenges. Exposure to data engineering practices including ETL/ELT pipelines, data versioning, and schema management. Awareness of multi-modal data handling include vision, audio, or document-based inputs. Contributions to open-source projects, research publications, or participation in AI/ML communities and conferences. Demonstrated curiosity and ability to balance research-oriented thinking with pragmatic engineering delivery in a commercial environment. About Us We didn't start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitization filters in the US Intelligence Community's highly classified networks. We are rated by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we're trusted by commercial and government organisations around the world. In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company and one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead. With PSG's strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders. Cybersecurity is a mission-critical field, and we've always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that while maintaining the same leadership, values, and commitment to excellence that have brought us this far We're excited for what's to come so now is a great time for you to join us on our journey. Inclusion At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life . click apply for full job details

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you'll do:Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMsBuild cutting-edge augmented reality experiences with diffusion/flow matching modelsWork on state of the art GenAI pipelines for image and video generation. Ship a consumer- facing solution within weeksExtensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedbackActively monitor the market and research landscape for new developments in Gen AI, evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap's products at the cutting edgeEvaluate open-source Gen AI models and APIsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quicklyKnowledge of mathematics and deep learning foundationsExcellent verbal and written communication skills, with meticulous attention to detailAbility to work independentlyAbility leading and executing large, complex technical initiativesMinimum Qualifications:Strong background in Machine LearningStrong programming skills in Python or C++Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning or computer visionPreferred Qualifications:Knowledge of computer graphics foundationsExperience with visual Gen AI models for Image and Video generation and EditingExperience with evaluating the visual quality of Image and Video modelsTrack record of successful projects in GenAI fieldAbility to proactively learn new concepts and apply them at workIf you have a disability or special need that requires accommodation, please don't be shy and provide us some information ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

About the Role: We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to innovative projects across various industries. Whether you're early in your career or looking to transition into AI, we offer full training and a supportive environment to help you grow. Flexible and remote working arrangements are available. Key Responsibilities: Design, develop, and deploy machine learning models to solve real-world problems Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into scalable applications Preprocess and analyze large datasets for use in training and evaluation Monitor, maintain, and improve model performance over time Stay current with the latest research and advancements in machine learning and AI technologies Essential Requirements: Familiarity with data preprocessing techniques and data pipelines Strong analytical and problem-solving skills A degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Awareness of AI ethics, fairness, bias mitigation, and emerging regulations around responsible AI Desirable Skills: Experience with cloud platforms (AWS, GCP, Azure) Knowledge of MLOps practices and tools Familiarity with natural language processing or computer vision Strong foundation in Python and machine learning libraries Understanding of key ML algorithms (e.g., regression, classification, clustering, neural networks) What We Offer: A starting salary of £39,000 with regular performance-based reviews Full training and mentorship to support your development in AI and machine learning Clear career progression paths into senior engineering, research, or leadership roles Flexible working with the option to work remotely part time Access to industry standard tools, cloud platforms, and AI research resources A collaborative and inclusive team culture based in Central London How to Apply: If you're ready to take the next step in your AI career, we'd love to hear from you. Submit your CV and a short cover letter outlining your interest in the role and any relevant experience. Company: Tech Recruitment UK Ltd Level of experience (years): Senior (5+ years of experience)

Senior IT Infrastructure Officer Our Client a bank, in Central London are looking for an experienced IT Infrastructure professional who is ideally looking for their next challenge in a dynamic and regulated financial services environment. We are seeking a highly skilled Senior IT Infrastructure Officer to lead the management, security, and continuous improvement of our enterprise IT infrastructure. The Senior IT Infrastructure Officer will be playing a key role in ensuring the availability, resilience, and performance of critical systems while supporting technologies across servers, networks, cloud services, cybersecurity, and business-critical financial applications. The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence. Must have 7 years' experience in enterprise infrastructure, ideally within banking or financial services, and be passionate about delivering secure, reliable IT services. The role will be Monday to Friday, 9:30am to 5:30pm and reporting into the Head of IT & Data. Due to the nature of the role, the individual is expected to work in our offices, 5 days per week, during their probationary period. Infrastructure & Systems Management Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualized infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication. Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE). Support endpoint DLP, SIEM, and security monitoring tools (e.g., Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. In depth understanding of Cyber security Monitor system performance, capacity, availability, and infrastructure health. Ensure compliance with IT governance, security policies, and operational standards. End-User Computing & Branch Support Provide advanced desktop, laptop, printer, Mobile device (iOS) and branch office IT support. Deliver AV support for meeting rooms, conferencing, presentations, and collaboration systems. Manage OS deployment, imaging, image creation, maintenance, and software packaging. Administer Active Directory (AD), Group Policy Objects (GPOs) and user provisioning and NTFS permissions. Support Microsoft 365 applications including Outlook, Teams, OneDrive, and SharePoint. Resolve technical incidents and service requests in line with agreed SLAs. 3. Enterprise Applications & Financial Systems Support Support and administer business-critical applications, including Bloomberg FXT and Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access (SAA), 1AML, SIBS, GFMS, COP. Support enterprise file synchronization and replication solutions (e.g., Syncovery, other SFTP). 4. Networking Configure and support Cisco switches and routers. Administer FortiGate firewall environments. Strong network fundamentals: DNS, DHCP, TCP/IP, LAN/WAN, Routing and connectivity troubleshooting. Monitor network performance, availability, and security posture. Security & Endpoint Management Support vulnerability management using tools such as Tenable. Manage security monitoring and log analysis tools (e.g., Splunk). Perform SSL/TLS certificate lifecycle management using OpenSSL. Create and manage CSRs, certificate chains, and private keys. Ensure adherence to cybersecurity policies, standards, and regulatory requirements. Support physical access control systems (e.g., Paxton). Operating Systems Windows 11 Windows Server 2019/2022 (or equivalent enterprise environments) Red Hat Linux Infrastructure & Virtualization VMware vSphere / vCenter (v8.0.3 and above) Veeam Backup & Replication Veeam ONE, VRO Microsoft Office 365 ManageEngine Patch Manager Plus SAAS solutions SQL Server Hardware & Storage Dell PowerEdge Servers Dell PowerVault SAN Storage Education Bachelor or Master's degree or professional qualification in relevant discipline (IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing) The role is based in Central London and initially will be in the office 5 days per week. This is a 12 month FTC position. The salary for the role will be circa £70K - £75K.

Senior C++ Software Engineer (Image Processing) Location: Milton Keynes, UK Company: Envisics Key Responsibilities Develop new and enhance existing tools for calibration and measurements. Create image processing and machine vision algorithms for system calibration. Develop End of Line (EOL) tools in an automotive production environment. Qualifications To be considered for this role, we are looking for: Bachelor's or Master's degree in a science or engineering discipline. Proficiency in software development with Qt/QML/C++. Good knowledge of multithreading and Object-Oriented Programming (OOP). Experience with image processing (OpenCV) is essential. Knowledge of computer vision (e.g., feature tracking). Strong debugging, problem-solving, and analytical skills. Ability to learn quickly and think outside the box. Attention to detail and the ability to work independently or as part of a team. Desirable Experience with Python and MATLAB. Experience working with camera systems (live image acquisition and calibration). What We Offer Competitive salary and performance bonuses. Flexible working hours and remote work options. Health and wellness programs. Professional development and training budget. Team-building events and social activities. Make an Impact As a Senior C++ Software Engineer, you will play a crucial role in developing tools that enhance the performance and accuracy of our AR-HUD products, directly impacting the future of automotive technology.

AI Engineer - Workday ProductsApplylocations: Belfast: Gdansk: Derry-Londonderry: Homeworker - Poland: Homeworker - UKposted on: Posted Todayjob requisition id: JR\_18096# Join Kainos and Shape the FutureAt Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger. As an Associate AI Engineer within Kainos' Workday Products division , you will support the team in productionising AI and machine learning solutions, working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings - including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. This is an opportunity to build foundational skills in MLOps, cloud deployment, and software engineering practices while contributing to real-world AI solutions that enhance our Workday product offerings. Essential Experience: Typically 2+ years of relevant industry experience Foundational experience in software development, with working knowledge of Python (or a similar language such as Java or C++), and a willingness to develop clean, maintainable code under guidance. Some exposure to deploying or supporting AI/ML models - through academic projects, internships, or early career experience - with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such as handling sensitive data correctly, using approved tools, and raising potential risks to senior colleagues. Basic understanding of cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects. Some exposure to agile software development practices, e.g. through internships, university projects, or previous roles. Good interpersonal skills, with enthusiasm for collaborating with cross-functional teams and communicating technical ideas clearly. Desirable Experience: BSc in Computer Science, Machine Learning, Software Engineering, or a related field Personal, academic, or internship projects demonstrating an interest in AI/ML productionisation. Familiarity with Workday APIs, data structures, and integration patterns is an advantage but not required. Exposure to generative AI concepts or tools (e.g., OpenAI GPT, Hugging Face Transformers) through coursework or self-directed learning. Basic awareness of deep learning concepts (CNNs, RNNs, Transformers) gained through study or personal exploration. Enthusiasm for participating in team knowledge-sharing activities, such as internal show-and-tells or learning sessions.# Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs. About UsAt Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Mission Software Engineering team is responsible for building, deploying, integrating, extending, and scaling Anduril's software to deliver mission critical capabilities to our customers. As the software engineers closest to Anduril customers and end users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end to end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter Unmanned Aircraft Systems. ABOUT THE JOB As a Mission Software Engineer on the Connected Warfare team, you will help architect third party systems to seamlessly integrate with Anduril products while solving a wide variety of technical problems, making pragmatic engineering tradeoffs along the way. Your role sets the bar for the technical excellence our customers expect from Anduril. Above all, Mission Software Engineers are driven by a "Whatever It Takes" mindset-executing in an expedient, scalable, and pragmatic way while keeping the mission top of mind and making sound engineering decisions to deliver successful outcomes correctly, on time, and with high quality. WHAT YOU'LL DO Be a champion for Anduril capabilities within a customer environment Develop architecture and mission vignettes Iterate on core data mesh technology to make optimal use of degraded networks Develop connectors and APIs for legacy and cutting edge systems to integrate with Lattice Deploy software to non standard environments Create data flow pipelines that span horizontally and vertically across disparate networked systems and security domains REQUIRED QUALIFICATIONS Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics At least 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc. Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code basesExperience working in a customer / client facing role A desire to work on critical software that has a real world impact Ability to travel to client sites Eligible for SC Clearance The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan.

Hybrid - Client Sites & EX3 London Office Duration 2-Year Structured Graduate Programme Start Date Rolling intake - September & January cohorts Reports To Head of AI Labs About EX3 EX3 is a technology advisory and delivery firm built for momentum. We put technology in the service of people - helping organisations envision bold futures, execute with precision, and excel at every stage of their transformation journey. EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning - helping clients across industries harness the full potential of AI, responsibly and at scale. The Opportunity This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI - not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery: Key Responsibilities AI Advisory & Strategy Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership Assist in developing business cases for AI adoption, including ROI modelling and risk assessments Machine Learning & AI Engineering Translate client and end user requirements into functional AI product specifications Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms Write clean, well documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference Support the deployment and monitoring of ML models in production environments Conduct exploratory data analysis, feature engineering, and model performance benchmarking Software Development Lifecycle Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof of concept Develop software wireframes for lifecycle and client projects Build frontend (Typescript/ React) and backend solutions Work within cloud platforms such as Azure to host web applications Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases Who We're Looking For Academic Background You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including: Computer Science, Software Engineering, or Artificial Intelligence Mathematics, Statistics, or Data Science Technical Skills & Experience We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following: Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias Experience with data manipulation tools: Pandas, NumPy, SQL Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock) Familiarity with version control (Git) and software development best practices Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage Interests & Mindset Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring: A genuine passion for AI and its real world applications - you read, experiment, and stay current Intellectual curiosity and the ability to learn fast in a fast moving field Strong communication skills - the ability to explain complex AI concepts to non technical audiences A client first mindset - empathy for end users and a drive to deliver tangible outcomes Collaborative spirit - comfortable working in cross functional teams and contributing to a shared mission Ambition and accountability - you take ownership, ask questions, and push boundaries An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment What to Expect From the Programme Year One - Foundation & Exposure Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training Assigned a senior mentor from day one - regular 1:1 coaching and career guidance Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent) Contribution to at least one live client project within the first 90 days Year Two - Specialism & Ownership Elect a primary practice specialism based on Year One performance and personal interests Lead delivery workstreams on client facing AI engagements under senior supervision Develop and present an innovation project as part of the EX3 AI Labs showcase Contribute to business development by supporting proposals, demonstrations, and thought leadership Complete a structured performance review with a pathway to a permanent role at EX3 Performance Expectations Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output Client Impact: Quality of client facing work, feedback received, and contribution to positive outcomes; effectiveness as a team member - reliability, communication, and how you uplift others; volume and quality of ideas contributed, experiments run, and initiative shown Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility EX3 Values Alignment: Living the values: Trusted, Client First, Innovative, Accountable, Solution Focused Why EX3 AI Labs Work on real, complex AI challenges - not sandboxed graduate projects A team that combines deep technology expertise with genuine advisory experience A culture of innovation - we experiment, we fail fast, and we improve Direct access to clients across industries including financial services, retail, healthcare, and the public sector A clear and transparent pathway from graduate to consultant to senior roles Competitive graduate salary, performance bonus, and sponsored learning budget A collaborative, inclusive environment where your voice is heard from day one How to Apply We accept applications on a rolling basis for our September and January cohorts. Applications should include: A current CV highlighting academic achievements, technical projects, and any relevant work experience A cover letter (maximum one page) setting out why you are drawn to AI, why EX3, and what you hope to contribute Optional: a link to a personal project, GitHub repository, Kaggle profile, or published work Shortlisted candidates will be invited to a two stage process: an AI aptitude and technical assessment, followed by a panel interview with members of the EX3 AI Labs team. All candidates must have the right to work in the UK for the entire duration of the graduate scheme EX3 is committed to creating an inclusive and equitable workplace. We consider all qualified applicants without discrimination on the basis of race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, or any other characteristic protected by law.

Junior Data Scientist Role type: Full time Location: UK (Fully remote) Preferred start date: ASAP About Satalia Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte scale multimodal datasets to power the next generation of marketing intelligence. The Role Our current work includes: Agentic pipelines - multi step LLM systems with tool use, planning, and self evaluation that automate complex marketing workflows end to end. Domain adapted foundation models - fine tuning open weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand safety classification. Retrieval augmented generation - production RAG systems over large proprietary corpora (embedding models, vector indices, re ranking) that serve real time answers to client queries. Classical ML at scale - gradient boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. This is a hands on role where you will learn by working alongside experienced data scientists on real production systems that serve global clients. We invest heavily in developing our junior hires and will pair you with senior mentors who will help you grow into a strong, independent practitioner. What You'll Do Explore and prepare datasets - cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular). Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production ready system. Write and maintain Python code that runs in production - scripts, pipeline components, and data processing jobs - with support through code review. Help build and test components of LLM powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines. Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team. Learn and adopt software engineering best practices - Git workflows, testing, documentation, and CI/CD - as part of your daily work. What We're Looking For A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience. Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection. Working knowledge of Python - you can write functions, use libraries, debug errors, and read other people's code. Familiarity with core data science libraries (pandas, NumPy, scikit learn). Exposure to PyTorch or TensorFlow is a plus. Some project experience with ML - academic projects, personal projects, internships, or competition entries all count. Show us something you've built. Curiosity and initiative - you read papers, follow releases, tinker with new tools, and ask good questions. Clear communication - you can explain what you did, why, and what you learned from it. Nice to Have Exposure to deep learning (NLP or computer vision) through coursework or personal projects. Familiarity with Git and command line workflows. Experience with SQL or any data pipeline tooling. Interest in LLMs, prompt engineering, or generative AI - even if it's just personal experimentation. Contributions to open source projects, Kaggle competitions, or a technical blog. What We Offer Benefits - enhanced pension, life assurance, income protection, private healthcare. Remote working - café, bedroom, beach - wherever works. Truly flexible working hours - school pick up, volunteering, gym. Generous leave - 27 days holiday plus bank holidays and enhanced family leave. Annual bonus - when Satalia does well, we all do well. Impactful projects - focus on bringing meaningful social and environmental change. People oriented culture - wellbeing is a priority, as is being a nice person. Transparent and open culture - you will be heard. Development - focus on bringing the best out of each other. Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you.

Employee Type Full Time Contact information Contact Phone . Description As aSeniorEngineerILSyou will providedirection andguidancefor planning, developing, and executing ILS strategies that ensure the long-term supportability, maintainability, and reliability of systems. Working closely with engineering, project management, and customer stakeholders, theSenior EngineerILS ensures that support requirements areidentified, integrated into system design, and sustained throughout the product lifecycle. Influence the design for supportability - Design for Support, ensure the design affords a high level of availability - Support the Design. Your responsibilities in this role include: Developthe production of ILS plans in alignment with project requirements, industry standards, and customer specifications. Direct and undertake Reliability, Availability, and Maintainability (RAM) analyses tooptimizesystem lifecycle performance. Support and directthe preparation and maintenance of technical documentation, including Logistics Support Analysis (LSA), Level of Repair Analysis (LORA), and Failure Mode, Effects, and Criticality Analysis (FMECA). Supportanddevelop maintenance concepts, provisioning data, spare parts lists, and technical manuals. Identifyareas of product design which couldimpacton maintainability of that product. Recommend alternative solutions to ensure that the product is easy tomaintainin accordance withthe customer requirements and expectations. Contribute to continuous improvement initiatives and lessons learned to enhancelogisticsprocesses. Promote and adhere to Health, Safety and Environmental best practice. Ensure rigour,resilienceand continuous improvement in solutions, meeting all regulatory requirements, conforming to specifications,qualityand certification requirements. Engendering a culture for the promotion of Marshall Land Systems core values and ethical business behaviour in a tolerant workplace free from discrimination,violenceand harassment. Apply if you have most of the following: Experience in planning and delivery tomeetschedules. Beneficial to have experience supporting development of engineering solutionsthrough theprojectlifecycle. This role is subject to the full definition of the Engineering and Technical Job Family - Level4as defined in the Marshall Job Family Handbook. Experience in the development of technical documentation. Technical Skills/Education: Knowledge of ILS methodologies, standards (e.g., MIL-STD-1388, DEF STAN 00-600, S3000L), andDefence industry practices. Sound understanding ofILSprinciples. Goodplanning and organisation skills Knowledge of Health, Safety and Environmental legislation Requirements Use computer packages egWord, Excel, Microsoft Project, MAX MRP System and Windchill (RELEX). Use of ILSsoftware -Eagle, OPUS10, SIMLOX etc Good written and verbal communication to clearly express views and ideas. Ability to interact with all levels of staff both internally and externally. Bachelor's degree in Engineering(Mechanical, Electrical, Systems), Logistics, or a related field; an equivalent combination of education and experience may be considered. 5years+of experience in ILS within the Defence or aerospace industry. Desirable to have made progress towards achieving professional accreditation. Additional local needs: Flexible and Agile in Working remotely and in an office in different environments with the requirement to travel if necessary. Candidates will need to complete a BPSS check Ability to work accurately and at pace. The benefits of this role include: Opportunity to play a key role in project engineering development and improvement Progression pathway to Engineering Management Lead ILS teams in integrating complex sub systems into vehicles and base platforms Involvement in multiple deployable and mission critical infrastructure projects Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are actively seeking a Mid Level DevOps Engineer to join our Technical Solutions Team, which is responsible for implementing the delivery platform across the Neftex subsurface evaluation product portfolio. This role is ideal for self motivated, enthusiastic individuals who thrive in team environments and are passionate about building innovative, scalable solutions using cloud technologies. You will work on the design, implementation, and maintenance of cloud and on premises infrastructure, CI/CD pipelines, automation tooling, and operational scripts. You will work closely with application developers in a DevOps environment. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities Design, implement, and maintain infrastructure to support scalable and resilient applications. Develop and manage CI/CD pipelines to automate build, test, and deployment processes. Write and maintain automation scripts for infrastructure provisioning, configuration, and deployment. Create operational tooling and scripts to streamline monitoring, logging, backups, and incident response. Collaborate with software engineers to ensure integration between application code and infrastructure. Monitor system performance, availability, and reliability using appropriate tools and metrics. Troubleshoot and resolve infrastructure and deployment issues across environments. Implement and enforce cloud security policies and practices. Maintain and improve Infrastructure as Code (IaC) scripts and templates. Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and retrospectives. Document infrastructure, processes, and operational procedures. Stay current with emerging cloud technologies, automation frameworks, and DevOps trends, and proactively suggest improvements. Qualifications Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. 3+ years experience in building and maintaining distributed systems in on premises environments including private cloud and hybrid solutions. Strong experience in building and maintaining distributed systems in on premises environments including private cloud and hybrid solutions. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience with CI/CD tools and practices. Solid scripting skills using Python, Bash, or PowerShell for automation of operational tasks. Networking including firewall principles, routing, package filtering, and WAF. Familiarity with monitoring, logging, and alerting tools (e.g., CloudWatch, Prometheus, Grafana). Experience with a public cloud provider (preferably AWS or Azure). Strong problem solving skills and ability to work in a fast paced, agile environment. Preferred Qualifications Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with modern infrastructure design patterns. Strong knowledge of server hardware, virtualization (VMware/Hyper V), and storage systems Experience with GitOps workflows and tools. Exposure to configuration management tools (e.g., Ansible). Understanding of infrastructure security best practices, including: Active Directory DNS DHCP Group Policy Secrets management Data encryption (at rest and in transit) Compliance and audit logging Experience working in Agile teams using Scrum or Kanban methodologies. Comfortable working in geographically distributed teams and cross functional environments. Familiar with SOC2 compliance requirements Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204218 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full-time Additional Locations for this position: Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the DevOps Software Engineer (Senior - Principal)

Senior IT Infrastructure Officer Our Client a bank, in Central London are looking for an experienced IT Infrastructure professional who is ideally looking for their next challenge in a dynamic and regulated financial services environment. We are seeking a highly skilled Senior IT Infrastructure Officer to lead the management, security, and continuous improvement of our enterprise IT infrastructure. The Senior IT Infrastructure Officer will be playing a key role in ensuring the availability, resilience, and performance of critical systems while supporting technologies across servers, networks, cloud services, cybersecurity, and business-critical financial applications. The candidate must have strong technical expertise in Windows/Linux, VMware, Microsoft 365, networking, cybersecurity, and infrastructure management who also enjoys solving complex challenges and driving operational excellence. Must have 7 years' experience in enterprise infrastructure, ideally within banking or financial services, and be passionate about delivering secure, reliable IT services. The role will be Monday to Friday, 9:30am to 5:30pm and reporting into the Head of IT & Data. Due to the nature of the role, the individual is expected to work in our offices, 5 days per week, during their probationary period. Infrastructure & Systems Management Administer, maintain, and optimize Windows and Linux server environments. Manage VMware virtualized infrastructure (vSphere 8 and above). Oversee enterprise backup and disaster recovery solutions using Veeam Backup & Replication. Manage Veeam ONE monitoring and Veeam Recovery Orchestrator (VRO) environments. Administer endpoint security and encryption solutions, including Symantec Endpoint Protection (SEP) and Symantec Endpoint Encryption (SEE). Support endpoint DLP, SIEM, and security monitoring tools (eg, Splunk, Tenable). Manage patching processes using ManageEngine Patch Manager Plus. Support Microsoft 365 services and related cloud technologies. In depth understanding of Cyber security. Monitor system performance, capacity, availability, and infrastructure health. Ensure compliance with IT governance, security policies, and operational standards. End-User Computing & Branch Support Provide advanced desktop, laptop, printer, Mobile device (iOS) and branch office IT support. Deliver AV support for meeting rooms, conferencing, presentations, and collaboration systems. Manage OS deployment, imaging, image creation, maintenance, and software packaging. Administer Active Directory (AD), Group Policy Objects (GPOs) and user provisioning and NTFS permissions. Support Microsoft 365 applications including Outlook, Teams, OneDrive, and SharePoint. Resolve technical incidents and service requests in line with agreed SLAs. Enterprise Applications & Financial Systems Support Support and administer business-critical applications, including Bloomberg FXT and Refinitiv Eikon, Murex Treasury System, SWIFT Alliance Access (SAA), 1AML, SIBS, GFMS, COP. Support enterprise file synchronization and replication solutions (eg, Syncovery, other SFTP). Networking Configure and support Cisco switches and routers. Administer FortiGate firewall environments. Strong network fundamentals: DNS, DHCP, TCP/IP, LAN/WAN, Routing and connectivity troubleshooting. Monitor network performance, availability, and security posture. Security & Endpoint Management Support vulnerability management using tools such as Tenable. Manage security monitoring and log analysis tools (eg, Splunk). Perform SSL/TLS certificate lifecycle management using OpenSSL. Create and manage CSRs, certificate chains, and private keys. Ensure adherence to cybersecurity policies, standards, and regulatory requirements. Support physical access control systems (eg, Paxton). Operating Systems Windows 11 Windows Server 2019/2022 (or equivalent enterprise environments) Red Hat Linux Infrastructure & Virtualization VMware vSphere / vCenter (v8.0.3 and above) Veeam Backup & Replication Veeam ONE, VRO Microsoft Office 365 ManageEngine Patch Manager Plus SaaS solutions SQL Server Security Symantec Endpoint Protection (SEP) Symantec Endpoint Encryption (SEE) SentinelOne - EDR/XDR Endpoint DLP solutions Firewall administration Vulnerability management tools (eg, Tenable) SIEM tools (e.g., Splunk) Hardware & Storage Dell PowerEdge Servers Dell PowerVault SAN Storage Education Bachelor or Master's degree or professional qualification in relevant discipline (IT/Information Systems/Computer Science/Technology/Programming/Information Science/System Engineering/Computing). The role is based in Central London and initially will be 5 days per week in the office. This is a 12 month FTC position. The salary for the role will be around £70K - £75K.

Who We Are Looking For:This opportunity is ideal for individuals interested in contributing to our team as a senior associate Software Engineering & ML/Data Engineer within State Street's Global Technology Services organization. Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies. The ideal candidate leads with integrity, embraces creativity, and invests in personal growth. This role requires a collaborative mindset, a passion for innovation, and the ability to inspire others.What You Will Do:In this role, you will perform the following day-to-day activities:Design and develop secure applications that support identity and access management workflows, including authentication, authorization, and user provisioning, aligned with cybersecurity best practices and compliance standards and deploying to Cloud environments. Work on building automation using AWS bedrock and other AI solutions.Build and manage databases using a combination of database technologiesCreate responsive user interfaces with HTML, CSS, JavaScript, and frameworks like React or AngularWrite unit and integration testsParticipate in design and code reviewsCollaborate with cross-functional teams to manage dependencies, identify risks, and deliver solutionsIn this role, you will have:Engagement in meaningful daily work : You'll take ownership of specific tasks and projects, gaining hands-on experience and building confidence through real contributions.A supportive learning environment : You'll exercise your judgment in a guided setting, with mentorship and supervision to help you grow.Focused skill development : This role is designed to help you deepen your expertise in a specific area.Clear structure and expectations : You'll work within well-defined parameters, giving you the clarity and focus to succeed.Independent contributions : You'll have the opportunity to make an impact through your individual contributions while collaborating with a supportive team.Focus on growth : While there are no people management responsibilities with this role, it is a great stepping stone for future leadership opportunities.A collaborative team culture : You'll build strong working relationships with your peers and supervisor, gaining valuable experience in a professional environment.Education and Preferred Qualifications:Candidates should be /have :Enthusiastic about building a long-term career in a dynamic, technology-driven organizationEffective communicators with the ability to collaborate in a team-oriented environmentOpen to feedback and committed to continuous learning and improvementMotivated by real-world problem solving and eager to contribute innovative ideasDegree in Software Engineering, Application Development, Data Analytics, Artificial Intelligence, or related technical disciplinesState Street internship experience strongly preferredCertification nice to haves:AWS/Azure Certified practitionerAWS/Azure SysOps Administrator or equivalentScrum MasterB.S. Computer Science/Engineering or related fieldsAI CertificationsData Analytics CertificationsJava CertificationsPython CertificationsCybersecurity certificationsCore Competencies:Candidates should exhibit working knowledge of the following key skills and proficiencies:Application DevelopmentDatabase ManagementData EngineeringData AnalyticsData VisualizationMachine LearningArtificial Intelligence (AI)Analytical ThinkingProblem SolvingData AnalyticsJavaScriptJavaNice to have skills:Software Development Life Cycle (SDLC)Cloud ComputingIdentity Access Management (IAM)About State Street:Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.Our promise to maintain an environment where every employee feels valued and able to meet their full potential infuses our company values. It's also part of our commitment to inclusion, development and engagement, and corporate social responsibility. You'll have tools to help balance your professional and personal life, paid volunteer days, and access to employee networks that help you stay connected to what matters to you. Join us.State Street is an Affirmative Action/Equal Opportunity Employer/Vet/Disability.Discover more information on U.S. jobs at State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at our CEO Statement

Job Details Salary: Competitive Plus Benefits Location: London Store Support Centre, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 29 July 2026 Requisition ID: Job Title Senior Machine Learning Engineer Job Overview As a Senior Machine Learning Engineer, you will play a pivotal role in designing, building, and optimising a Machine Learning system for Advert Classification. We are looking for a leader competent across modern ML tooling, methodologies, and design practices, while also able to design hybrid systems that integrate LLMs. The lead is expected to drive the ML design and build lifecycle, arriving at a reliable and performant system, supporting a team of Data Scientists in delivery. Systematic evaluation of performance with data is a critical part of our ML initiatives; the lead will drive strategy and operationalise automatic machine evaluation with metrics and best practice MLOps. You will partner with Data Scientists and Software Engineers to ensure the system is reliable, performant, and production ready. You will also contribute to engineering excellence across Machine Learning and MLOps by driving best practices, mentoring other engineers, and shaping the technical direction of data and ML workflows across our domain. Key Responsibilities Lead the design and build of high quality, scalable, and reusable Machine Learning systems using Sainsbury's engineering standards and best practices. Design and optimise Machine Learning modules for Advert classification, applying the ML Lifecycle and best practice in model selection and development. Lead the design and implementation of supporting Machine Learning Operations, applying best in class approaches to data versioning, model re training, and data observability. Implement automation tools and frameworks for experiment tracking, data and model observability to streamline deployment and monitoring of machine learning models in production. Lead the system evaluation methodology, including evaluation strategy, data generation, and evaluation metrics. Provide guidance to mid level Data Scientists on best practice and methodological choices when optimising machine learning modules and the system overall; offer technical guidance on emerging technologies in data engineering and machine learning to enhance their skills and career growth. Collaborate and support with data scientists across the lifecycle, including EDA, data transformation, model selection, feature engineering, and model selection. Optimise data processing workflows and storage solutions to improve performance and reduce costs. Work closely with cross functional teams, including software engineering and product management, to deliver data solutions that meet business needs. Promote a culture of knowledge sharing within the engineering teams by organising regular technical workshops, brown bag sessions, and code reviews. Encourage continuous learning and improvement, fostering a collaborative and inclusive team environment. Have 6-10 years of experience designing and building Machine Learning systems end to end, including strong experience implementing MLOps. Qualifications Strong understanding of modern Machine Learning methodologies, Data Science, and accompanying algorithms. Good experience integrating LLMs as hybrid AI ML systems. Academic background with at least a BSc in Computer Science. Experience in modern Computer Vision, having built image detection systems end to end. Strong understanding of ML deployment and management on modern Cloud platforms, specifically MS Azure and AWS. Strong analytical and problem solving skills. Excellent communication skills, able to explain complex concepts to non technical stakeholders. Ability to work independently as well as collaboratively within cross functional teams. Leadership and Communication Provide technical direction, set standards, and lead by example in science and engineering excellence. Facilitate Scrum ceremonies when required (stand ups, planning, grooming). Communicate clearly and transparently, creating an inclusive environment where diverse opinions are encouraged. Strong team player with a collaborative approach to working with cross functional teams within the Media Agency. Open to feedback and willing to provide constructive criticism to others. Be available for the team, responding within a reasonable time frame, and if not possible, clearly signpost alternative contacts who can guide. Build a community across the Media Agency. Contribute to a positive and inclusive atmosphere within the team. Knowledge Sharing and Empowerment Commitment to fostering a learning culture within the team and ensuring knowledge transfer across all levels. Support and mentor C3s and C4s engineers by providing them opportunities to lead initiatives and contribute to the technical roadmap. Deliver Through Others Share domain expertise proactively and help establish the engineering direction for the team. Support spikes, POCs and early investigative work. Lead by example in communication, visibility, accountability and role modeling Sainsbury's values. Benefits Starting off with colleague discount, you will be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We also have pensions scheme and life cover, and you may be eligible for a performance related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You will receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance, and access to a great range of discounts from hundreds of other retailers. There is also an Employee Assistance Programme, and you will be eligible for private healthcare. We provide up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave.