1 to 25 of 36 Part-Time Machine Learning Jobs in the UK excluding London

Data Scientist Full remote (based in the UK) 30-33,000 depending on experience Benefits package. Primary Purpose Development of XCMs machine learning solutions Delivery of client machine learning models . Delivery of associated documentation and content on each project. Communicating findings to internal and external stakeholders Enhancing the clients ROI with XCM through data driven … on client roadmaps when needed. Supporting XCMs analysts in statistical techniques. Key Responsibilities Working closely with the lead Data Scientist and Director of Analytics to develop a suite of machine learning solutions. Involvement in the design, creation, productionising, testing, and maintenance of machine learning solutions. Developing data models to serve the needs of each client by … Qualities Degree level qualification or equivalent in a mathematical or computing discipline. 2+ years experience writing production level python code Highly proficient with numpy, pandas, sklearn Strong understanding of machine learning algorithms and workflow Experience scoping and developing machine learning projects such as recommender systems Experience with containerised deployment (docker) Strong understanding of CI/CD More ❯

Were hiring a creative & driven Machine Learning Engineer to help us redefine digital experiences at the intersection of fashion, generative AI, and computer graphics. You will be a key member of our high-energy R&D team, responsible for designing, building, and deploying the cutting-edge models that will power the next generation of e-commerce and entertainment. … robust, scalable machine learning pipelines for data processing, training, and inference. Optimise models and algorithms for performance to handle large, multimodal datasets. Stay at the forefront of ML & AI research, applying the latest techniques to solve unique and challenging problems. Requirements: Proven experience developing and deploying machine learning models in a production environment. Strong programming skills … in Python & familiarity with ML frameworks (PyTorch or TensorFlow). Solid understanding of ML fundamentals and modern deep learning architectures (e.g., Transformers, CNNs). A passion for applying ML to new, creative domains and an eagerness to learn about the challenges in computer graphics and 3D. Nice to have: Hands-on experience optimising large models (e.g., diffusion models, LLMs More ❯

Machine Learning Engineer - Remote (EU 4h) - Up to 75,000 Im partnered with a fast-growing conversational AI startup thats redefining how people interact with personal chatbots. Their mission? To create intelligent, intuitive digital companions that genuinely feel human. As they expand their engineering team, theyre looking for a Machine Learning Engineer whos … passionate about building high-performing, scalable AI systems not just models, but end-to-end products that people love using. What youll be doing: Designing and developing cutting-edge ML systems that power next-gen chat experiences Collaborating with product, UX, and engineering teams to bring new features to life Building with modern frameworks like Python, TypeScript, Next.js, Supabase, and … Tailwind Keeping the AI stack performant, reliable, and ever-evolving Staying ahead of emerging ML trends and applying them to real-world product impact What youll bring: Strong experience across ML systems and algorithms Solid technical grounding in Next.js, TypeScript, Tailwind, and Supabase Experience with APIs, RESTful design, and data modeling A collaborative mindset and genuine curiosity for AI innovation More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops … and manage version control using Git . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What Youll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency in Python More ❯

driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions … Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What Were Looking For Essential: 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience … with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from data ingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills, especially with non-technical stakeholders Interest in applying AI to healthcare or other high-impact domains Nice to Have: Experience in healthcare, clinical AI, or medical More ❯

frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯

into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems provide … decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modeling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit lifecycle. Strong grasp of credit underwriting, affordability metrics, and regulatory compliance requirements. ... More ❯

Product Manager Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. Youll work closely with Design, Engineering, and Decision Science to build tools that help participants across our platform make more informed decisions about selecting, pricing, and … and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring … quality, and support better decision-making. Youll Be Successful If You Have Required : At least 5 years experience as a Product Manager delivering commercial products that leverage AI/ML or advanced analytics. Background in data-rich product domains, with comfort in translating technical output into user-facing tools. Familiarity with P&C specialty insurance, especially underwriting or portfolio management. More ❯

retail sector) with clients in the USA, Europe and LATAM. We are advisors, engineers, and designers solving industrial challenges with innovative technologies. We are acknowledged for our expertise in Machine Learning, AI, Robotics, IoT, XR, and Big Data. Our recognition extends to industry leaders including Nvidia, Google, Amazon, and Microsoft, as well as key players in diverse business … with 5+ years of experience using DES Simulation software, preferably AnyLogic or FlexSIM Educated in Mechanical Engineering, Mathematics, Computer Science, Physics, or a related field, and excited about continuous learning Skilled at designing and conducting experiments and 'what-if' scenarios to deliver actionable insight Experienced with discrete event simulation using Python (libraries such as SimPy, PySim, Simulus, and optimization … approaches that redefine industrial processes, leveraging the latest technologies and methodologies Stay at the cutting edge of technological innovation by learning, applying, and shaping advancements in AI/ML, IoT, and next-generation simulation technologies TOGETHER WE WILL Play a pivotal role in transforming global industries through advanced simulation and Digital Twin solutions Deliver transformative, high-profile projects that More ❯

essential, with proven track record of hands-on delivery of technical solutions. Proven track record of delivering and managing innovation programs, AI solutions is a plus. Strong understanding of Machine Learning, cloud platforms and digital platforms is essential. Experience in working with multiple third-party vendors and partners to deliver complex solutions. Team building and pragmatic problem-solving More ❯

and scalability improvements. Comfortable working autonomously and taking ownership of major system areas, while maintaining a hands-on, collaborative approach to team projects. Experience with LLMs or AI/ML-driven systems is highly desirable. Knowledge of Knowledge Graphs, RDF, or OWL would be an advantage, but is not required. Familiarity with financial services or regulatory technology is beneficial, though More ❯

pgvector, FAISS, Weaviate), and hybrid search. Deep understanding of chunking, indexing, reranking, and evaluation metrics. Solid experience with SQL and NoSQL databases (Postgres, DynamoDB). Familiarity with AI/ML models and APIs (LLMs, embeddings, vector search). Expertise in data engineering (ETL, schema design, performance tuning). Proficiency in AWS and containerized deployments (Docker, ECS). Strong grasp of More ❯

spikes, and playback issues. Strong leadership and communication skills for cross-functional collaboration. Experience with broadcast/MAM integration (Avid, Dalet, Viz One, Adobe). Familiarity with AI/ML in media workflows (auto-tagging, transcription, object recognition). Hands-on experience with identity/access management and content security. Cloud certifications (AWS/Azure/GCP). More ❯

lead architecture and technical strategy across multiple business units. What were looking for: Strong background in software engineering (Python, Java, or similar). Hands-on experience with AI/ML frameworks and tools (LangChain, Hugging Face, LlamaIndex, Weaviate, etc.). Experience deploying AI systems in production environments. Excellent systems thinking, problem-solving, and collaboration skills. This is a chance to More ❯

related fields Experience within fast-paced, data-intensive environments Knowledge of computer vision systems, including specification and deployment of optical sensors (not just image processing) Familiarity with AI/ML techniques is advantageous but not essential This role is part of a high-performance, agile team. This contract may include some travelling to European locations across the contract. More ❯

demand and evaluate the impact of various price management models. Create visualisations and dashboards to communicate analysis and model outputs. Collaborate across the business to automate data science and machine learning applications. Actively participate in our data community to build new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex More ❯

Senior AI Data Engineer (Architect) Underpinning Machine Learning & Artificial Intelligence Remote (UK based) 70,000 Huge opportunity to design cutting edge data architectures, unlocking the full potential of AI within commerce. It's new, it's exciting and it's an opportunity to work with some incredible talent in this … space. Senior AI Data Engineer (Architect) Join the team driving innovation in AI and advanced analytics. Specifically you will design and implement greenfield data architectures, integrating advanced AI/ML capabilities. Design and implement modern, cloud-native data platforms Develop and maintain robust APIs and data integration strategies The opportunity Work at the forefront of the industry. It's exciting … cloud/data architecture experience. Expertise in designing and delivering greenfield data architectures. Experience with Microsoft Fabric, Power BI, and cloud-native platforms. In-depth knowledge of AI/ML technologies and their application in cloud environments (Azure would be ideal) Proficiency in ETL/ELT processes, data integration, and engineering tools. Hands-on experience with Python, Airflow, Snowflake, Databricks More ❯

Familiarity with Git and CI/CD pipelines Nice to have Experience with Python for data integration or analytics Background in enterprise SaaS environments Understanding of data-driven or machine learning features (advantageous but not essential) This position would suit a developer who enjoys working across the full stack, particularly with Next.js at the forefront, and who takes More ❯

under tight deadlines. Nice-to-Have Experience with logistics, courier operations, or related business processes. Familiarity with microservices architecture and containerisation (Docker/Kubernetes). Exposure to AI/ML solutions and how they integrate into SaaS products. Previous experience in early-stage startups or high-growth environments Whats on offer: Genuinely competitive basic salary and meaningful options in a More ❯

on one of the countrys most ambitious, mission-driven tech initiatives. We are urgently hiring across multiple roles , including: Palantir Software Engineers Data Engineers & Analysts (Foundry/Gotham) AI & Machine Learning Specialists Solution & Technical Architects Deployment Engineers/DevOps Palantir Consultants (Mid to Senior) Location: UK - FULLY REMOTE Duration: Up to 2 Years (Contract) Rates: Market Leading DOE … to-end, and fast-paced. What Were Looking For: Proven Palantir Foundry or Gotham experience Hands-on skills in Python, Java, TypeScript, or relevant frameworks Experience in AI/ML, Ontology, Deployment Pipelines, or DataOps Strong stakeholder engagement skills Active or eligible UK security clearance Mid to Senior-level professionals ready to make a difference Interviews are underway dont miss More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows Happy to liaise with clients If you can see yourself in a mission-led, impact-focused team, apply now! JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

initiatives. Requirements: Extensive IT leadership, and Azure cloud strategy and operations experience. Proven experience managing global cloud environments and distributed teams. Expertise in Azure services, cloud architecture, AI/ML, and managed services. Strong leadership, communication, and stakeholder engagement skills. Experience with cloud cost optimisation and budgeting. Experience with hybrid/multi-cloud environments (AWS, GCP). Benefits: Fully homebased More ❯

SQL/NoSQL databases and caching technologies (Redis, DynamoDB, PostgreSQL). Active UK Security Clearance. Desirable Experience building or securing mission-critical, public-facing systems. Background in AI/ML integrations or data transformation at scale. Knowledge of containerisation and orchestration (Docker, Kubernetes). Detailed specification available. More ❯

. Ability to troubleshoot BAU issues and own both the infra and integration layers. Strong communicator with humility and a collaborative style. Nice to have Exposure to AWS (for machine learning workloads). Experience with messaging/queues (Service Bus, RabbitMQ). Background in .NET environments. Why join? Take ownership from day one, stepping into a role where More ❯

in Python and TypeScript Experience with Azure or GCP infrastructure Knowledge of distributed systems, microservices, event-driven architectures Strong system design and security principles Bonus points for: AI/ML production experience (MLOps, infra, deployment) Go, Docker, Kubernetes, infra-as-code Healthcare standards (FHIR, HL7, DICOM) What will you get? Base salary 80100k, plus equity for exceptional candidates Fully remote More ❯