1 to 25 of 54 Remote/Hybrid Machine Learning Jobs in Central London

products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity … Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

+ £7k annual DV bonus (once obtained) About the Role: We're seeking Machine Learning Engineers to design and deploy ML models for national security applications. You'll work on GenAI, LLMOps, and traditional ML solutions using AWS infrastructure, unique datasets collaborating with data scientists and software engineers … into production-ready solutions Implement experiment tracking and monitoring Collaborate with data scientists and engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge ...

security-focused technology organisation is seeking a Senior Machine Learning Engineer to join its AI team. You will design, develop, and deploy ML models and LLM/GenAI solutions to solve real-world national security challenges. This is a highly innovative, collaborative, and impactful environment where you will … apply cutting-edge machine learning methods to unique datasets. Key responsibilities: Lead and contribute to ML projects, including forecasting, classification, anomaly detection, and LLM/GenAI applications. Design experiments, formulate hypotheses, evaluate results, and iterate rapidly to validate approaches. Transition experimental models into production-ready solutions, collaborating with ...

data science, contributing expertise across projects, bids and stakeholder discussions Leading and delivering complex machine learning and AI projects in collaboration with ML engineers, delivery teams and customers Engaging with users to define requirements, scope AI use cases and develop realistic delivery plans Supporting the design, development … tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying models using cloud platforms, particularly AWS Ability to communicate complex ideas clearly ...

partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded … knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using ...

expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation … Offer Train, evaluate and deploy agentic AI systems and computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills ...

Senior Manager level, you'll play a key role in shaping technical delivery and trusted client relationships. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working … industries. Design and build end-to-end platforms as a Full Stack Data Engineer using Palantir and modern data technologies. Apply advanced analytics and machine learning to real-world challenges. Influence technical direction and best practice across complex programmes. Mentor and develop junior engineers while contributing ...

Senior ML Engineer £50,000 to 60,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer - London/Hybrid Up to £65,000 + DV Bonus | DV Eligible Required | No Sponsorship We are seeking a Senior ML Engineer … join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will design, develop, and deploy ML models, including traditional ML and GenAI/LLM applications, supporting national security and regulated sector objectives. This is a London-based role with hybrid working ...

organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps … Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

edge data platforms. Engineer enterprise-level data pipelines and optimise ETL processes. Develop workflows and decision-support tools that transform operations. Integrate AI and machine learning into client systems, ensuring measurable outcomes. Partner with senior stakeholders to translate business needs into technical solutions. Set engineering standards, champion best … engineering, ETL pipelines, and workflow design at scale. Proven track record of leading projects and mentoring teams in client-facing environments. Passion for AI, machine learning, and translating emerging technologies into real-world impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

data pipelines and ETL processes. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate on AI and machine learning models applied to real-world challenges. Technical Excellence: Deliver scalable, reliable software solutions using Python, SQL, and TypeScript. Grow & Share: Mentor peers … technologies (Foundry, Gotham, or similar) is preferred but not essential . Solid understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. Work ...

learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support. Key Responsibilities: Lead and contribute to AI and ML projects … working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present ...

rare opportunity to apply cutting-edge data science in a highly innovative, collaborative, and impactful environment. Key responsibilities: Lead and contribute to AI and ML projects across diverse data types (text, images, audio, video, graphs, geo-location). Engage with stakeholders to scope projects, understand use cases, and plan technically … robust delivery strategies. Collaborate with ML engineers to build, deploy, and maintain models using cloud services (AWS). Conduct research, literature reviews, and provide technical guidance to shape solutions. Present complex technical concepts to both technical and non-technical audiences. Mentor junior team members and support the broader team ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please ...

Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed ...

Aspire Life Sciences, Jack Wilson specialises at the intersection of technology and life sciences. He focuses on placing high-level Data, AI and Machine Learning talent with fast-growing startups across the UK, Europe, and the USA. Jack’s deep industry insight allows him to connect candidates with ...