1 to 25 of 35 Remote/Hybrid Machine Learning Jobs in the City of London

role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies. You will work alongside Software Engineers, Machine Learning specialists and the wider technology team to deploy, integrate and optimise innovative … with Machine Learning and Large Language Models (LLMs) this is an essential requirement for the role Experience deploying, integrating or working with ML/LLM models in practical applications Familiarity with machine learning frameworks, model deployment and inference technologies Experience using Python data and matrix manipulation ...

move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will work across the full ML lifecycle, from designing and developing models through to deploying, scaling and continuously improving production systems. Depending on seniority, you will also have the opportunity … Develop and deploy production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions ...

convert business ambition into scalable, AI-driven products. Key Responsibilities Leadership & Team Growth: Mentor, scale, and inspire a world-class team of data and ML engineers, instilling high standards for software execution, operational excellence, and continuous growth. Technical Strategy & Architecture: Define and execute the long-term vision for enterprise data … grade data platforms and machine learning solutions that deliver tangible commercial outcomes. Technical Credibility: Strong foundational depth in modern data architecture and ML deployment, with a passion for getting into the engineering details when necessary. Executive Communication: Exceptional ability to translate complex technical concepts into clear, value-driven ...

Machine Learning Engineer Senior, Lead & Principal Location: London/Hybrid Level: Senior, Lead & Principal Salary: £100,000£140,000+ Sector: AI/Machine Learning/Technology Anson McCade are partnered with a leading UK AI organisation that is expanding its Machine Learning Engineering team … looking to hire Senior, Lead and Principal Machine Learning Engineers click apply for full job details ...

effective AI solutions. This is a hands-on technical leadership role, ideal for someone currently operating as a Lead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar , and looking to take the next step into an Associate Director-level position. … public sector environments. Lead the development and deployment of production-grade Generative AI and Machine Learning solutions. Architect systems integrating LLMs and ML models into wider enterprise applications and workflows. Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement. ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

questions are complex, the data is challenging and the outcomes genuinely matter. You'll work alongside experts from a range of disciplines, using machine learning, AI and advanced analytics to solve problems that have real-world impact. You'll be trusted to explore, experiment and develop practical solutions … science solutions, combining analytical thinking with strong engineering principles to build models that can be relied upon in production. Your work could involve: Developing machine learning models that solve complex operational challenges. Working with structured, unstructured and streaming data to uncover meaningful insights. Designing scalable data pipelines ...

clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version … processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

Role As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy. Responsibilities include: Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation Developing classification, regression and clustering models … Offer Salary up to £65,000 Hybrid working with two days per week in London Exposure to a broad range of Data Science and machine learning projects Direct client engagement and stakeholder exposure Access to modern cloud and analytics technologies Strong opportunities for technical and professional development Collaborative ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

things well: deliver high-impact technical training to corporate clients, and coach apprentices through to successful completion. If you've got strong AI/ML/Data expertise and enjoy both classroom-style delivery and 1-2-1 learner support, this is a broad, high-visibility role with real autonomy …/Data curriculum evolves. The role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across ...

ambiguous environments. Desirable Experience It would be advantageous if you also have experience with: LLM fine-tuning Agentic AI systems Microservice architecture Go Deep learning/traditional machine learning AI coding and agentic development tools such as Claude Code, Codex or similar What This Role ...

Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems … with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment of data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading … large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital transformation initiatives **Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data ...

established international platform across the UK and Canadian markets. Day to day responsibilities include: Production System Health: Oversee, refresh, and retrain the live ML model suite without needing to overhaul the underlying architecture. Keep an eye on model performance and drift. Commercial Analytics: Monitor baseline UK/CA performance metrics … Stack: Advanced SQL and Python (or R ) skills to maintain existing codebases and pipelines. Model Stewardship: Practical expertise in monitoring, troubleshooting, and retraining live ML models. Autonomous Operator: High self-direction to manage daily BAU operations with minimal oversight. Clear Communicator: Able to translate complex technical issues into actionable business ...

reliable data solutions across both batch and real-time environments. You'll be involved in data engineering initiatives supporting modern analytics and AI/ML capabilities, working closely with technical and business teams to deliver secure, high-quality data solutions. The role offers a good mix of hands-on engineering ...

including tagging, showback/chargeback and accountability across operating companies.Provide architectural guidance to balance cost, performance, scalability and resilience.Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing.Ensure platforms are AI-ready with scalable compute, data integration, secure access and responsible AI controls.Evaluate emerging Microsoft capabilities ...

Strong experience managing integrated plans, dependencies, RAID, resources, governance, milestones and delivery forecasting. Practical understanding of Data and AI, including Generative AI, agentic AI, machine learning and AI-enabled automation. Confident communication and collaborative leadership skills, with the ability to engage from technical specialists through to C-suite ...

data analytics work across the practice. Embed advanced analytics techniques into standard audit methodology while building firm-wide technical capability through structured learning programmes. As the successful candidate you will: Hold a full ACA or ACCA qualification with a minimum of 2-3 years' post-qualification experience in external … expert-level proficiency in Power BI (or equivalent visualisation tools) along with practical experience using low-code development platforms. Possess hands-on experience applying machine learning, AI, and specialised audit data analytics software to complex audit processes. Have a proven track record in persuading internal stakeholders and translating ...

part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience in applying data science … conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure, including infrastructure ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

potential extension Start: ASAP Key requirements: • 2+ years of recent, hands-on Databricks experience delivering production solutions • Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI • Strong experience designing and implementing Databricks Lakehouse architectures • Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers ...

data visualisation dashboards (Tableau Cloud) and develop new reporting streams Work with the Publishing Innovation Director to develop data structures suitable for use in machine-learning projects Respond to team requests, including troubleshooting issues, generating ad-hoc reports, and building automations for currently manual tasks Constantly appraise existing ...