1 to 25 of 44 Remote/Hybrid Machine Learning Jobs in the City of 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 ...

research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable … latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ...

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 ...

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 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 ...

Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‐driven applications. Prepare and structure data for dashboards, reporting, and machine learning solutions. Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems. Manage CI/CD deployments and version … Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt , Power BI , or similar data analytics tools. Understanding of machine learning , AI integration , and vector databases . Interest in UI design or Agile project delivery. Additional language proficiency is a plus. Why Join ...

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 ...

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 ...

backend services that support complex modelling work. Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments. Training, tuning and deploying machine learning models into production. Creating processes for robust data extraction, transformation and management. Integrating new solutions with existing systems and ensuring smooth deployment. ...

roadmap and mentor future hires About You Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures Proven experience delivering ML/AI systems into production environments Excellent Python engineering and system design skills Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure) Clear communicator, comfortable ...

salary £60,000- £90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity … Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure ...

regulated technology landscapes and security frameworks. Familiarity with DevSecOps and compliance-driven delivery in cloud-native contexts. Interest or experience in AI/ML application in digital financial services. ...

Nice to Have but not essential: Experience with event-driven architectures and NextJS/NodeJS build environments. Experience supporting data pipelines or AI/ML workloads. Background in startup environments and exposure to security frameworks or compliance processes. Benefits: Hybrid working model (minimum 3 days a week in office). ...

compliance processes (GDPR/CCPA). Advising C-level stakeholders on leveraging data to drive value creation and operational efficiency. Applying analytics and machine learning techniques to identify insights and growth opportunities. SKILLS AND EXPERIENCE The successful VP – Data Strategy & Transformation will have the following skills and experience ...

Cloud platforms (AWS and/or Azure) Containerisation (Docker, Kubernetes) Infrastructure & configuration management (e.g. Ansible) Experience with relational, document, or graph databases Exposure to machine learning platforms What's on offer £70k-£90k base salary depending on experience Annual bonus Hybrid and flexible working 25 days holiday + ...

fantastic opportunity for an experienced Bid Writer or pro-active, commercially minded Graduate with great writing ability, to join an industry-leading machine-learning software company in London. We would love to hear from high-calibre graduates who possess excellent technical acumen to train as a Technical ...

rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machine learning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects ...

Engineering experience Technical Leadership experience Track record of building systems that handle millions of operations with sub second response times Background with AI/ML platforms Regulated industry experience What's On Offer Competitive salary and a meaningful equity stake in a fast-growing company with huge potential. Comprehensive health ...

Experience with backend systems, async code, and debugging production issues. Comfortable working directly with customers and cross-functional teams. Nice-to-have: experience integrating ML models, voice-stack exposure. ...

roadmaps which will allow this function to scale from an operational perspective Strong knowledge of Agile processes, as well as AI and/or ML is also a big bonus This position is able to offer £100-120K, plus benefits, and operates a hybrid working model in London ...