101 to 125 of 852 Machine Learning Jobs in London

Build and maintain scalable data pipelines and ETL processes Engineer data workflows and decision‐support tools on Palantir platforms Work on applied AI and machine‐learning use cases Deliver Palantir implementation and advisory work across enterprise clients Combine software engineering expertise with strategic problem‐solving Work directly with … maintainable solutions Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases Collaborate with colleagues on analytics, AI, and machine‐learning initiatives Mentor junior engineers and contribute to engineering best practice Build trusted client relationships and support long‐term transformation outcomes Key Requirements ...

opportunity for a Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply AI, machine learning and data science to complex real-world challenges in the radio frequency domain. The role will focus on investigating emerging technologies, developing … help advance innovative approaches in a collaborative, mission-driven environment. Your Profile We re looking for a technically strong data scientist with experience in machine learning, AI or radio frequency signal analysis, and a track record of applying advanced methods to complex real-world problems. The ideal candidate ...

clients and support the sales cycle. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds … sales team, playing a key client-facing role in driving sales conversations forward, delivering Proof of Concepts, and supporting live customer engagements for a machine learning platform Location: Central London - 3 days in office/2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements ...

technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning … clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

world challenges in the radio frequency domain. The role combines hands-on technical research with project leadership, involving the development and testing of advanced machine learning approaches, proof-of-concept solutions, and technical investigations that help defence and security partners better understand and exploit the electromagnetic environment. Working … research in an agile, collaborative and mission-driven setting. Your Profile We re looking for a technically strong data scientist with deep experience in machine learning, AI or radio frequency signal analysis and a track record of applying advanced research to complex real-world problems. The ideal candidate ...

London/South East | Hybrid with secure site work Ncounter is working with a highly specialised AI and data consultancy delivering advanced analytics and machine learning capability into some of the UK’s most secure environments. They are growing their engineering team and are looking … impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability ...

Innovation – London-Based Roles! Are you a tech trailblazer ready to build something extraordinary from the ground up? We’re looking for AI and Machine Learning Engineers with founding-level experience to join fast-growing start-ups in London and shape the future of technology. Why This Role … Exciting: Work with high-growth, innovative start-ups at the cutting edge of AI and machine learning Hands-on impact your work will directly influence products and company direction Collaborate with founding teams bring your ideas to life and help scale global solutions Hybrid flexibility: 3 days ...

with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems . This role … building from scratch. The Role You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: * Audit current ML architecture, pipelines, and MLOps practices * Identify gaps in documentation ...

Senior Software Engineer (Python) – Reducing Carbon Emissions with Machine Learning! Python on AWS £90-£110,000 per annum plus stock London Office - 1-2 days a week Are you a Senior Software Engineer with a passion for working with curious, humble colleagues to build exceptional customer-focused products … most exciting scale-ups to find them Senior Software Engineers with exceptional knowledge of building great products in Python on AWS. They use machine learning technology to help tackle climate change by reducing carbon emissions. They are at a critical period in their journey and will be growing ...

make an impact In a team of Product Managers working on our Biometric Product, you will work closely with our Engineer and Machine Learning functions owning the Product Experience. You will play an integral part in streamlining our efforts understanding customer pain points and turning them into usable … closely with our customers to draw requirements from both a technical and security perspective, whiteboard R&D options with various teams of Software and Machine Learning Engineers, productionize and commercialize new features where you see fit, and champion the next generation of usable and inclusive biometric products. What ...

medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator. The Role … with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making. Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy. Helping the business prioritise where data science delivers ...

learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: 5+ years of professional experience delivering advanced AI/ML solutions in industry or engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch … Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI . Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients. Proficiency with cloud compute platforms for training and deployment (Azure, AWS, GCP, or similar). Strong ...

Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data … work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across ...

Senior Staff Machine Learning Engineer (Drug & Target Discovery) — Senior Technical Lead Ready to build the ML backbone behind next-generation human health discovery? We’re partnering on a retained search for a Senior Staff/Principal-level Machine Learning Engineer to lead the design, training … deployment of frontier ML systems across multi-omics, biomarker discovery, target discovery, genomics, and multimodal biomedical data. This is a rare opportunity to translate cutting-edge research into robust, production-grade systems that can improve how new treatments are discovered and developed. We’re looking for senior candidates with deep ...

clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version … processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.* Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.* Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice.* Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.* Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.* Hands-on experience ...

deliver real products used by investment teams and portfolio companies. This role is ideal for: PhD graduates in a STEM field with applied ML, optimization, or computational experience; or Bachelor’s/Master’s graduates with 1–2 years of industry experience or relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What You’ll Do Build and deliver ML ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

Machine Learning Engineer – Neural Network R&D London | Hybrid | £130,000 Most ML roles use models. This one builds them. You’ll be working on fundamental neural network development — taking architectures off the shelf and making them faster, more efficient, or entirely rethinking how they work. This … They’re looking for someone who: Has built or significantly improved neural network architectures Strong experience with PyTorch/TensorFlow Deep understanding of deep learning fundamentals (not just using libraries) Can demonstrate research or advanced development work London (hybrid) Eligible for SC/DV If you’ve gone beyond ...

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking … engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress ...

with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference … shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps ...

experienced MLOps Engineer with a strong background in DevOps, Data Science, or Machine Learning Engineering, who has hands-on experience productionising ML models. The focus of the role is building and enabling production-grade ML environments rather than model development itself. Candidates must have deep MLflow experience … real-time) with robust CI/CD Work closely with Data Scientists to transition models from experimentation to production Build scalable, secure, and reproducible ML platforms Establish best practices around: Model governance; Monitoring and retraining; Environment management Integrate with cloud and data platforms such as Databricks, and potentially AWS SageMaker ...

edge AI into real scientific impact . Responsibilities Build and deploy LLM-powered systems (RAG, agents, workflows) for scientific use Design tools that support ML scientists and researchers in their day-to-day work Work with large, messy biomedical datasets (omics, literature, clinical data) Create multi-step AI workflows that … automate research and reasoning Develop evaluation frameworks to ensure models are accurate and reliable Collaborate closely with ML engineers, data scientists, and biologists Requirements: Core: Experience building with LLMs (GPT-style models, RAG, agents, tooling) Strong Python + data/ML engineering skills Experience working with real-world data systems ...