451 to 475 of 697 Machine Learning Jobs in the City of London

outside) About the Role Join a fast-growing AI technology firm in London as an Elixir Engineer , building large-scale, data-driven systems that power intelligent automation and machine learning. You’ll work on high-performance backend services and APIs using Elixir/Phoenix , collaborating closely with data and DevOps teams in a technical, engineering-led environment. Key Responsibilities More ❯

outside) About the Role Join a fast-growing AI technology firm in London as an Elixir Engineer , building large-scale, data-driven systems that power intelligent automation and machine learning. You’ll work on high-performance backend services and APIs using Elixir/Phoenix , collaborating closely with data and DevOps teams in a technical, engineering-led environment. Key Responsibilities More ❯

be of particular interest Further experience with solution architecture and solution delivery is required You will have an understanding across a broad range including GenAI, Copilot, Harvey AI, LLMs, ML and automation Demonstrable evidence of leading and mentoring is required as is the ability to manage and deliver on multiple projects simultaneously AI Technology Lead/Manager - Law Firm More ❯

be of particular interest Further experience with solution architecture and solution delivery is required You will have an understanding across a broad range including GenAI, Copilot, Harvey AI, LLMs, ML and automation Demonstrable evidence of leading and mentoring is required as is the ability to manage and deliver on multiple projects simultaneously AI Technology Lead/Manager - Law Firm More ❯

cost optimisation, including RI/SP planning and right-sizing. Mentor engineers and architects on AWS best practices and emerging technologies. Stay abreast of AWS innovations (e.g. AI/ML services, Graviton, EKS Blueprints). Required Experience Extensive experience in cloud/infrastructure architecture with strong hands-on AWS expertise. In-depth knowledge of AWS services (e.g. EC2, EKS, Lambda More ❯

cost optimisation, including RI/SP planning and right-sizing. Mentor engineers and architects on AWS best practices and emerging technologies. Stay abreast of AWS innovations (e.g. AI/ML services, Graviton, EKS Blueprints). Required Experience Extensive experience in cloud/infrastructure architecture with strong hands-on AWS expertise. In-depth knowledge of AWS services (e.g. EC2, EKS, Lambda More ❯

on Python, cloud infrastructure, and AI tooling Contribute to the growth and direction of the internal AI team What we’re looking for: Significant experience in applied AI/ML, with focus on LLMs and cloud Strong Python skills Proven track record working with executive stakeholders (C-suite or board) Background in PE, fintech, consulting, or top-tier tech firm More ❯

business development teams to align goals Represent the organisation at industry events and thought-leadership forums What You’ll Bring Proven track record selling complex software or AI/ML solutions to large enterprises Strong understanding of software buying cycles in engineering-led or regulated industries Exceptional communication and stakeholder-management skills Technical background in engineering, science, or mathematics Strategic More ❯

business development teams to align goals Represent the organisation at industry events and thought-leadership forums What You’ll Bring Proven track record selling complex software or AI/ML solutions to large enterprises Strong understanding of software buying cycles in engineering-led or regulated industries Exceptional communication and stakeholder-management skills Technical background in engineering, science, or mathematics Strategic More ❯

driven decisioning across investment management, using benchmarking and insights to accelerate adoption. Drive SaaS and cloud transformation , shaping roadmaps that unlock economies of scale and enable future AI/ML-driven capabilities. Mentor cross-functional teams on data architecture, cloud design principles, and front-office solution delivery. Represent the architecture function externally , articulating a coherent technology vision across vendor, partner More ❯

driven decisioning across investment management, using benchmarking and insights to accelerate adoption. Drive SaaS and cloud transformation , shaping roadmaps that unlock economies of scale and enable future AI/ML-driven capabilities. Mentor cross-functional teams on data architecture, cloud design principles, and front-office solution delivery. Represent the architecture function externally , articulating a coherent technology vision across vendor, partner More ❯

in business development, alliances, or sales within data, cloud, or AI consulting environments . Strong understanding of the data engineering and analytics ecosystem , including data lakehouse architecture, AI/ML solutions, and modern cloud platforms. Established network within technology partnerships or data solution providers in the UK or Europe. Proven success in building strategic partnerships, driving joint go-to-market More ❯

in business development, alliances, or sales within data, cloud, or AI consulting environments . Strong understanding of the data engineering and analytics ecosystem , including data lakehouse architecture, AI/ML solutions, and modern cloud platforms. Established network within technology partnerships or data solution providers in the UK or Europe. Proven success in building strategic partnerships, driving joint go-to-market More ❯

to influence both technical and non-technical stakeholders. Analytical mindset with a focus on delivery, iteration, and measurable outcomes. Bonus points if you: Have worked directly with AI/ML product teams or agentic AI systems. Have experience scaling B2B SaaS products for non-technical users. Have previously worked in a founder-led company or small cross-functional team. Why More ❯

to influence both technical and non-technical stakeholders. Analytical mindset with a focus on delivery, iteration, and measurable outcomes. Bonus points if you: Have worked directly with AI/ML product teams or agentic AI systems. Have experience scaling B2B SaaS products for non-technical users. Have previously worked in a founder-led company or small cross-functional team. Why More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models More ❯

quantitative research firm that continues to push the boundaries of advanced modelling from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models More ❯

to ground them in government use cases: Data governance (compliance, ethics, transparency). Data engineering & integration across silos. Analytics for fraud detection, citizen services, and operational efficiency. AI/ML applied in policy, security, or service delivery contexts. A natural communicator, ideally an extrovert techie who enjoys client interaction. Self-motivated, curious, and willing to go “all in” to solve More ❯

models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through … Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and … stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through … Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and … stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. More ❯

models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through … Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and … stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Luxoft is committed to fostering a diverse and inclusive workplace. We show fairness to all throughout our talent acquisition and management process. More ❯

Job Title: 3D Computer Vision Engineer Location: London, UK (Hybrid Working) Type: Permanent Key Responsibilities: Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization. Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines). Develop inverse rasterization systems and facial feature extraction algorithms using … Design Unity and Unreal Engine plugins for real-time physics, rendering, and visualization. Develop modules for 3D reconstruction, mesh processing, and camera calibration using C++ and Python. Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation. Build … OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications. Requirements: Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal More ❯

Job Title: 3D Computer Vision Engineer Location: London, UK (Hybrid Working) Type: Permanent Key Responsibilities: Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization. Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines). Develop inverse rasterization systems and facial feature extraction algorithms using … Design Unity and Unreal Engine plugins for real-time physics, rendering, and visualization. Develop modules for 3D reconstruction, mesh processing, and camera calibration using C++ and Python. Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation. Build … OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications. Requirements: Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal More ❯

Senior Data Engineer – (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean More ❯