1 to 25 of 164 Machine Learning Jobs in the City of London

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

Senior Consultant and Managing Consultant** level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries. You'll work alongside talented consultants, data scientists and AI specialists, solving … turn data into meaningful commercial outcomes. What You'll Be Doing Depending on your level, you'll be responsible for: * Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions * Delivering AI and data science projects from discovery and proof of concept through ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

/ML Engineer Up to £82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global …/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab ...

/ML Engineer Up to £82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global …/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance optimisation Collaborating cross-functionally with data scientists, product managers … Python proficiency (async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation ...

date with its features, capabilities, and roadmap Tungsten Solutions Knowledge : Maintain a firm understanding of all primary Tungsten Automation solutions and offerings AI and ML Capabilities : Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction … term success of Tungsten Automation solutions Production AI Experience : Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines) Thought Leadership : Provide thought leadership on AI-driven automation trends and best practices, both internally and externally Collaboration ...

B.V. is looking for a Principal Research Scientist to help define and accelerate their machine learning research agenda. This position is ideal for an established researcher who wants to remain at the forefront of machine learning while applying their expertise. The successful candidate will work with ...

modern data architectures Data quality, governance and performance optimisation Working within complex or regulated environments Youll also need practical exposure to AI or Machine Learning … initiatives, including areas such as: AWS Bedrock or similar AI services Generative AI and prompt engineering concepts AI-enabled data products or workflows Supporting ML pipelines or working alongside Data Science teams Experience with Terraform, APIs, CI/CD or DataOps practices would be beneficial. Interested? Please apply below. ...

Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software … Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working ...

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 ...

delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions … leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment ...

large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines … approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...

through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work … infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support ...

enterprise data platforms. You'll take ownership of complex data engineering challenges, develop robust data models, support CI/CD processes and help integrate machine learning outputs into production environments. Alongside hands-on technical delivery, you'll mentor other engineers, contribute to engineering standards and collaborate closely with ...

technical leadership roles. Strong experience in Azure cloud architecture and enterprise application delivery. Experience working with Dataiku for analytics, data pipelines, or AI/ML-driven applications. Strong knowledge of .NET/ASP.NET Core architecture and enterprise integrations. Experience with financial services, treasury, derivatives, or risk management platforms. Understanding ...

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 ...

highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM‐powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high … role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation. What you’ll be doing Deliver AI/ML Capabilities Design, build, and deploy scalable AI/ML models, APIs, and LLM‐based solutions (e.g. agents, chatbots) Ensure solutions are secure, reproducible, and aligned ...

formally signing off whether AI-generated insights meet business and delivery standards. AI & Machine Learning Lifecycle - Previous experience supporting AI/ML initiatives and AI agents from development through to deployment, with an understanding of model validation and continuous improvement. SQL Proficiency - Strong working knowledge … business questions and translate requirements into trusted analytical models. Adaptability - Comfortable working in an agile environment where priorities evolve, AI capabilities mature and continuous learning is encouraged. This is an exciting opportunity to work at the forefront of AI-enabled analytics, helping shape how the organisation leverages LLMs, Looker ...