1,101 to 1,125 of 1,661 Machine Learning Jobs in the UK excluding London

driven solutions that drive business decisions and strategic initiatives. Overseeing the end-to-end data science lifecycle, from scoping out client needs to deploying ML models. The Candidate Key attributes of the suitable Manager (Data Science) include: At least 3+ years of commercial data science experience Experience within consulting, especially More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing AI consultancy that’s focused on Gen AI advancements? This self-funded scale-up supports leading enterprises to design and build bespoke, production-ready AI applications and agents that deliver measurable business impact. In this role More ❯

in Python programming Previous tech/team lead experience Experience in PostgreSQL Cloud infrastructure knowledge of either GCP, AWS or Azure BONUS: Understanding of ML Frameworks If you’re a Principal Python/Backend Developer looking for an exciting new challenge within a great company, then please apply today to More ❯

on code contributions and architecture planning Building systems across gameplay, networking, UI, tools, backend, online services, and DevOps Driving the adoption of AI and ML tooling to support gameplay and production Hiring, onboarding, and growing a high-performing engineering team Championing a strong, collaborative engineering culture in a fast-moving More ❯

Collaborate with a small, fast-moving team in an Agile environment Get involved in shaping product direction and feature design Optionally explore AI/ML workflows if of interest (Python helpful) What We’re Looking For 3–4+ years' experience in backend web development Strong skills in Node.js/TypeScript More ❯

development, ideally aligned with standards like RTCA DO-254. Awareness of cryptographic methods and anti-tamper techniques. Interest in or experience with AI/ML algorithms, including genetic algorithms. Qualifications: HNC/HND or degree in Electronic Engineering, Computer Science, Artificial Intelligence, Games Programming, Physics, or Applied Physics - or equivalent More ❯

looking to expand your existing data team, Staffworx work with an excellent network of data analysts, data scientists, governance, data engineering and AI/ML Data More ❯

Collaborate with a small, fast-moving team in an Agile environment Get involved in shaping product direction and feature design Optionally explore AI/ML workflows if of interest (Python helpful) What We're Looking For 3-4+ years' experience in backend web development Strong skills in Node.js/ More ❯

AI Engineer – London (Hybrid) - Up to £70,000 per annum - 3+ years in AI/ML development, Python & LLM expertise 💼 Are you ready to push the boundaries of AI? numi are proud to have partnered with a early-stage startup on a mission to revolutionise enterprise AI. You'll play More ❯

for rapid and innovative drug discovery. Their mission is to design fast innovative drug candidates for dozens of critical diseases harshening artificial intelligence and machine learning. They are currently looking for a Senior Scientific Software Developer to join their team in London or Paris with a 3 days a More ❯

within the JavaScript framework - TypeScript , React (Next.js) and Node.js . Ideally with knowledge ofTerraform, Ansible, and Packer. Knowledge of know-how using AI/ML in a person project or workplace LLM,TensorFlow, and PyTorch. Previous experience managing end to end project management solution design with Architects to implementation. Previous More ❯

the technical strategy for transforming raw neurophysiological data into meaningful clinical and user facing insights. Collaborate closely with cross functional teams including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification More ❯

the technical strategy for transforming raw neurophysiological data into meaningful clinical and user facing insights. Collaborate closely with cross functional teams including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification More ❯

the technical strategy for transforming raw neurophysiological data into meaningful clinical and user facing insights. Collaborate closely with cross functional teams including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification More ❯

to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from More ❯

of Product Management experience, ideally in deep tech or AI/HPC infrastructure contexts. 2+ years of Engineering experience. Technical fluency in AI/ML frameworks, hardware acceleration - enough to engage meaningfully with R&D and engineering teams. Proven track record of owning product roadmaps from ideation to launch, particularly More ❯

moving to a Product based model to create business facingdigital capabilities. Develop and maintain robust data pipelinesand storage solutions to support data analytics and machinelearning initiatives. Reporting to the Director-Data engineeringsolution, The role operates globally in collaboration with teamsengineering teams across coreproducts. TechnicalLeadership - Provide strong technical leadership to dataengineers More ❯

services, backend, and DevOps. Collaborating with other departments (gameplay, art, production) to ensure engine features meet evolving needs. Spearheading the adoption of AI/ML-driven workflows and tooling across the engineering org. Recruiting, onboarding, and mentoring technical team members. Maintaining a high level of responsiveness, adaptability, and technical excellence More ❯

About the Employer Bank of America Here at Bank of America, we’re developing innovations in emerging fields like virtual reality, artificial intelligence and machine learning. Through our cutting-edge projects and prototypes, we help all kinds of businesses to access finance more safely, rapidly and globally than ever. More ❯

into issues and implementing solutions independently - Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate More ❯

in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning. CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company More ❯

that processes, plans and people are sufficient to achieve Military and/or Civil Type certification, while applying innovative technologies such as AI/ML, Autonomy, Multicore processors, IMA, MBSE and Agile methods. The Sector Chief Safety Engineer also forms part of the independent assurance function, dependent on experience achieving More ❯

a foundational leadership role defining the scientific roadmap, shaping core research strategy, and building a world-class team at the intersection of cutting-edge ML and real-world deployment. The Opportunity: You’ll serve as the bridge between breakthrough research and transformative product impact steering the scientific direction of a … B , $500M+ valuation 📚 Focus Areas : LLMs, multimodal models, scientific discovery, RLHF, AI safety, scalable infra We’re Looking For: A PhD or equivalent in Machine Learning, Computer Science, or related … field A proven track record of leading high-impact AI research in academia or industry Deep expertise in generative models, foundation models , or applied ML Experience scaling world-class research teams and interfacing with product/engineering Passion for building something enduring and changing the game with AI This role More ❯

Key Responsibilities Design & Implement Computer Vision Solutions: Develop and optimize end-to-end computer vision pipelines using advanced deep learning techniques. LLMs-VLMs: Have awareness about the latest technologies in the field of LLMs and VLMs. Model Development & Deployment: Build, train, and deploy deep learning models (e.g., object … DevOps) and mentor junior developers on best practices and new technologies. Required Qualifications 5+ years of hands-on experience in Computer Vision and Deep Learning . Fluency in Python ; additional programming languages (C++, Java, etc.) are a plus. Expertise in Deep Learning Frameworks: PyTorch and TensorFlow. Proficiency with … TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation Flexible Work Arrangements (Remote) and a positive work-life balance. Growth Opportunities : A chance to lead cutting-edge More ❯

collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and … strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work … by the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯