1 to 25 of 34 Remote/Hybrid Machine Learning Jobs in Central London

chemists, machine learning engineers and oversee the recruitment of additional members over the next 6–9 months. Partner with internal Product and ML/AI teams to translate customer needs into clear model requirements and enterprise-grade software solutions. Represent the organisation within the scientific ecosystem through publications … lead optimisation. Deep, practical knowledge of structure-based and ligand-based design, ADMET modelling, and the integration of biophysical data. Exceptional understanding of modern ML approaches and the judgement to know where these technologies materially improve outcomes. Comfortable operating in a fast-paced, venture-backed, remote-first environment. A clear ...

with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate … years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Machine Learning Engineer (Python LLM AWS) London/WFH to £90k Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be progressing your career in a hands-on technical leadership role ...

chelsea.hackett@searchability.com WHO ARE WE? Due to continued growth, we’re supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients. The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into daily … metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You’ll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored ...

integrating advanced machine learning directly into their products to outsmart attackers at scale. The Role We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). … will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure. Key Responsibilities: Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring. Integrate ...

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 ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

Cloud Infrastructure (OCI) services and architecture Integrations with Oracle SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within ...

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 ...

Datadog, Soda, SSRS, etc. • Cloud: Azure, AWS (S3) basic • Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Key Responsibilities Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API/… Django), or Node.js for the backend. AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases. Cloud ...

learning infrastructure. This role focuses on developing and maintaining scalable cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads. Key Responsibilities Design and maintain scalable cloud infrastructure for distributed computing and ML workloads Build and optimise CI/CD pipelines to enable reliable … tools (e.g., GitHub Actions, GitLab CI, Jenkins) Familiarity with monitoring tools such as Prometheus or Grafana Scripting experience (Python, Bash, or similar) Experience supporting ML, GPU, or high-performance computing environments is a plus What’s on Offer Competitive salary + equity Flexible hybrid working Generous holiday allowance Learning ...

enjoys using a range of programming languages with exposure across the full tech stack? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients … technology, with a focus on Golang, TypeScript and AWS, to maintain and improve a large microservices architecture. There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of Greenfield projects as well as flexible working and a host of benefits ...

Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability ...

administration and security across cloud-based IaaS, PaaS, and SaaS environments on Windows platforms Desirable Experience with Power BI Exposure to AI and machine learning workloads Data warehousing and analysis services experience (Azure-based preferred) Experience with Azure DevOps pipelines Relevant Microsoft certifications, such as Azure Database ...

deploy scalable backend services powering AI agents. Design and implement APIs and pipelines to integrate agents into customer workflows. Collaborate with software and ML engineers to deploy cutting-edge models. Own the full lifecycle: from experimentation to deployment and monitoring. Contribute to technical strategy and mentor junior engineers. Requirements Strong ...

limits of how machines understand and analyse complex software systems. You’ll be joining as the first platform Engineering hire , partnering closely with the ML and Product teams to design, build, and scale the infrastructure that powers advanced AI models. 🔧 What You’ll Be Doing Design, build, and operate Kubernetes ...

based cloud environments. Work with data-intensive and computation-heavy components, balancing precision, performance, and cost. Collaborate across disciplines including product, data science or ML, and frontend. Improve system operability through testing, monitoring, and pragmatic deployment practices. Participate in architectural discussions and technical decision-making as the product evolves. Required ...

design, accessibility standards and code maintainability. Nice to Have Experience with server‐side rendering or static site generation (Next.js). Exposure to AI/ML integrations or advanced analytics in a front‐end context. Familiarity with GraphQL or micro‐frontend architectures or enterprise‐grade front‐end tooling. What We Offer ...

significant long term growth planned. The Role • Implement AI agent solutions designed by the architecture team. • Build and deploy production grade models using Python, ML and NLP techniques. • Work with modern LLMs including GPT, Llama, Claude and Mistral. • Contribute to solution development while learning best practice from senior engineers … with client facing teams and technical leads as part of a multidisciplinary delivery function. Your Skills and Experience • Strong practical experience with Python for machine learning or NLP. • Hands on exposure to modern LLMs and ability to work with models such as GPT, Llama, Claude or Mistral. • Understanding ...

Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe ...

Data Science Lead, you will act as the subject matter expert and technical lead in transitioning GLM pricing models to Python and advancing machine learning capability across the function. Partnering closely with senior performance and analytics leaders, you’ll help shape data science strategy, identify high-value opportunities ...

environments. Key Responsibilities - Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response ...

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 ...