1 to 25 of 50 Remote/Hybrid Machine Learning Jobs in Central London

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

Mode of Working: Hybrid Working Hours: 40 hours per week (Full-time) Are you looking to utilise your experience and expertise in AI, Machine Learning, and Advanced Analytics? We have an exciting opportunity for you - AI Engineer – Data & Reporting ! Careers at TCS: It Means More … APIs, SDKs, and microservices that integrate AI, RAG, and machine learning capabilities into enterprise applications. Own the end-to-end AI/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring. Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...

part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with … platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver end-to-end solutions. Provide technical leadership throughout the project lifecycle. ...

Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities. The Company They are a scaling fintech business operating in the consumer … analytics capability. The Role Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models Build predictive models using advanced statistical and machine learning techniques Deploy models into production using AWS SageMaker and collaborate with engineering teams Monitor model performance and ensure ongoing effectiveness across business ...

game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ML Eng, Data engineers, analysts and product owners. Role Overview Within the various studios and other central teams, you will interact with data, engineering, and product … developing games and features. Progression opportunities will be within the AI group or to studios in the group. Key Responsibilities Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data. ...

About the Company Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning . Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science … join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production . This role is suited to a well-rounded Senior/Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within … Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage ...

team. This is an exciting opportunity to work on cutting-edge AI programmes, designing and delivering enterprise-scale solutions across Generative AI, Agentic AI, Machine Learning and Intelligent Automation. Working with major clients across a range of industries, you'll play a key role in defining AI strategy … solutions within complex environments. You'll have strong experience across: Generative AI Agentic AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering Machine Learning Intelligent Automation MLOps and LLMOps You'll also have experience working with technologies such as OpenAI, Azure OpenAI, Hugging Face, Llama ...

modelling and decisioning capability. Responsibilities: Building and improving credit risk and decisioning models using Open Banking, bureau and internal lending data Developing scorecards and machine learning models to support underwriting decisions Deploying, monitoring and maintaining models within AWS production environments Analysing portfolio performance, arrears, defaults and customer behaviour … experience building credit risk or decisioning models within lending (insurance backgrounds may also be considered) Strong experience with scorecards, logistic regression and/or machine learning models Good understanding of how models influence real lending decisions and commercial outcomes Experience deploying and maintaining models within production environments Strong ...

commercial analysis Own and execute strategic initiatives and be accountable for their growth and success Lead the rollout and adoption of the existing Machine Learning module (AVA) across the customer base Design, develop, and optimise AI-powered booking solutions to improve vehicle allocation across repair networks Support strategic … technology businesses Strong analytical and problem-solving capabilities with the ability to interpret complex data sets and generate actionable insights Familiarity with AI and Machine Learning concepts, products, and applications Commercial mindset with the ambition and capability to own product performance and growth initiatives Experience supporting strategic initiatives ...

Design mathematical models and optimisation algorithms for complex industrial decision-making problems. Develop quantum, quantum-inspired, and hybrid quantum-classical algorithms. Investigate AI and machine learning techniques that complement optimisation workflows. Evaluate new computational approaches for emerging hardware and software platforms. Software Engineering Develop high-quality scientific software … Quantum Computing, or a related field. Strong expertise in one or more of the following: Mathematical Optimisation Quantum Computing Quantum Algorithms Artificial Intelligence/Machine Learning Scientific Computing High-Performance Computing (HPC) Strong programming skills in Python, C++, Julia, Rust, or similar languages. Experience developing scientific software ...

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. ...

working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka or Structured Streaming. CI/CD and DevOps practices. Docker and Kubernetes. Exposure to Machine Learning pipelines. Experience within Financial Services or other highly regulated environments. About You You'll be an experienced Data Engineer or Technical Lead ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

operational readiness: testing strategy, CI/CD, release notes, production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have ...

Design Translating business needs into scalable cloud architectures Cost optimisation and cloud best practices Data & AI Experience with data platforms, analytics, and AI/ML solutions Understanding of data lifecycle management Application Architecture Modern cloud patterns (serverless, containers, microservices) CI/CD and DevOps methodologies Security Identity & access management, encryption … scalability Disaster recovery and observability Governance & Compliance Cloud governance frameworks and cost control Auditing and compliance enforcement Desirable Skills AWS Specialty certifications (e.g. Security, Machine Learning, Advanced Networking) Exposure to other cloud platforms (e.g. Azure, Google Cloud) Whats on Offer Competitive base salary + comprehensive benefits package ...

geophysical, and geochemical datasets into robust subsurface representations. Day-to-day responsibilities include overseeing interpretation workflows, guiding data quality standards, and collaborating closely with machine learning engineers to translate geoscience knowledge into computational models. The role also involves providing expert input to exploration projects, mentoring cross-functional teams … geoscience or a related field, or equivalent industry experience in mineral exploration or subsurface modeling. Experience collaborating with data science or AI/ML teams, with an ability to communicate geoscientific concepts in computational terms. Track record of leading multidisciplinary technical teams and setting scientific standards or workflows. Comfort with ...

data collection and research at their institutions. Run technical quality checks on incoming data, and pre- and post-processing of datasets prepared for the machine learning teams. Manage data platforms for HIPAA-compliant data collection and processing. About you We are looking for somebody who is excited ...

orchestration platforms (e.g., Itential) for network services. Automate connectivity services (VLAN, DNS, Firewall, DDI) integrated with ServiceNow and ITSM workflows. Drive AI/ML use cases such as WAN capacity forecasting, anomaly detection, predictive analytics, and self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana ...

orchestration platforms (e.g., Itential) for network services. Automate connectivity services (VLAN, DNS, Firewall, DDI) integrated with ServiceNow and ITSM workflows. Drive AI/ML use cases such as WAN capacity forecasting, anomaly detection, predictive analytics, and self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana ...

productivity improvements and cost optimisation through intelligent automation Essential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise‐scale RAG solutions using LLMs … experience with core GenAI frameworks and agent‐based AI concepts Strong deployment experience on at least one major cloud platform including AI and ML services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including ...