1 to 25 of 171 Remote/Hybrid Machine Learning Jobs in London

edge methods in AI, machine learning, and MLOps/LLMOps practices. You'll have the opportunity to: Work alongside leading data scientists, ML engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI …/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms Influence technical direction and best practice in ML and AI engineering Mentor and support junior engineers and graduates Engage directly ...

very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. ...

classification, forecasting, anomaly detection) Supporting experimentation cycles: hypothesis definition, testing, and evaluation Contributing to the deployment of models into production environments Building and maintaining ML pipelines using AWS services Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines) Implementing best practices in experiment tracking … lifecycle Required Skills & Experience Minimum 1+ year of commercial experience in machine learning or data science Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation ...

models that make sense of high-dimensional biological data. The successful candidate will work alongside bioinformaticians, software engineers, and lab scientists to build scalable ML systems that directly influence the discovery pipeline. This is a hands-on role with ownership - from prototyping models to productionising them in a fast-moving … teams to translate experimental data into actionable insights Optimise models for performance, scalability, and real-world usability Contribute to the design of their ML infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy ...

drive continuous improvement Collaborate cross functionally with product, engineering, and commercial teams Mentor and elevate a high-performing team of data scientists and ML engineers Contribute to AI strategy, including developments in generative AI Experience 6–12 years’ experience in data science, currently operating at Principal level Strong grounding … machine learning fundamentals (supervised learning essential) Proven experience delivering production-grade ML solutions Strong Python and SQL skills Experience with experimentation and data-driven decision making Ability to operate as a hands-on technical leader (not pure management) Advanced degree (Master’s or PhD) in a quantitative ...

Machine Learning Engineer (PyTorch LLM) London onsite to £110k Do you have expertise with Machine Learning in production? You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that … Bank Holidays) Daily lunch, monthly breakfasts Dog friendly office Pension Monthly socials Impactful role that you can shape and influence Your role: As a Machine Learning Engineer you'll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised ...

machine learning models end to end. Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning. Understanding of production grade ML workflows and CI CD principles. Experience building chatbots or NLP driven chat engines used in live environments. Comfortable working independently and taking ownership of complex … structure with senior mentorship and clear technical progression. How to Apply If you are a Senior Data Scientist looking to work on production level ML and LLM solutions within financial services, apply now to find out more. ...

finance-driven analytics role. The focus is on scientific, engineering, and operational data, including time-series and image data, with exposure to machine learning experimentation and modern AI tooling, including GenAI. What You’ll Be Doing Data Preparation and Engineering Collect, clean, and validate data from sensors, internal … issues. Exploratory Analysis and Insight Generation Perform exploratory data analysis to identify trends, anomalies, and patterns. Translate findings into clear, structured insights for stakeholders. Machine Learning and AI Support Support development and testing of machine learning pipelines. Work with time-series, tabular, and image datasets. Assist ...

taking ownership of complex, Enterprise - Level AI Transformations getting Hands-On with the Engineering required to move Theoretical Models into robust, Production-Grade ML systems. Role Overview: You will be stepping in as the Technical Lead for Large - Scale Enterprise Client s across Europe. You'll advise stakeholders on complex … Fluent in English . Bonus Points for those that speak both English & Spanish to work directly with Local Stakeholders. Who Should Apply: The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale. The Client-Facing Engineer ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine … Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments. Key Responsibilities: Develop and deploy machine learning models for anomaly detection Build proofs of concept (PoCs) to validate data ...

financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office. The AI Engineer will ideally have the following attributes: Knowledge/experience in Artificial … working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, GCP, or Azure Experience developing and deploying AI/ML models into production environments Understanding of APIs, microservices, and modern software development practices Ability to work both independently and as part of a collaborative engineering ...

Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world … subscription products or growth analytics Exposure to experimentation/A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue If you would like to be considered for the role and feel you would ...

real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data … Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 #erro ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 JBG81_UKTJ click apply for full job details ...

Opportunity: Machine Learning Engineer Location: London (Hybrid) Clearance: SC or DV Clearable Salary: £140,000 + Benefits I'm currently on the lookout for several Machine Learning Engineers to join a fast growing engineering team at a cutting edge tech company developing advanced computer vision solutions … platform. Technical Skills Required: Strong Python engineering skills Experience in computer vision (object detection, tracking, depth estimation, 3D/SLAM) Proven experience deploying ML/CV models into production Experience with PyTorch, OpenCV, and ML tooling (e.g. Lightning, W&B) Familiarity with ONNX/TensorRT is a plus Strong understanding ...

Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSS We are seeking a SAP IBP Demand Consultant to support the productionisation … external Python-based forecasting algorithm . The role focuses on integrating external forecast outputs into SAP IBP , moving beyond a pure IBP demand ML implementation. The Role Work with SAP IBP Demand modules with a strong statistical/ML background Integrate external forecasting methods into IBP Support promotions planning , ensuring ...

this team plays a critical role in defining the next generation of their offering. The Role Lead the end-to-end development of new ML and AI capabilities, from rapid prototyping through to production deployment. Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life. … scalable systems. Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision-making. Your Skills and Experience Strong experience delivering production-grade ML systems end to end. Proficiency in Python and SQL, with experience working on cloud-scale datasets. Practical experience with LLMs and applied AI, such ...

making Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation … exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/ ...

Opportunity: Machine Learning Engineer Location: London (Hybrid) Clearance: SC or DV Clearable Salary: £140,000 + Benefits I'm currently on the lookout for several Machine Learning Engineers to join a fast growing engineering team at a cutting edge tech company developing advanced computer vision solutions ...

strengthening operational resilience, and helping organisations realise the full potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails … reviews, write unit/integration/e2e tests (including data and prompt tests), and uphold engineering standards and documentation Work with advanced AI/ML frameworks, cloud services, and container orchestration platforms As an AI Engineer, you are responsible for designing, building, and deploying scalable AI and machine learning ...

prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving … mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/ ...

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 ...

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 ...