1,076 to 1,100 of 1,948 Machine Learning Jobs in London

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience working at code level and understanding architecture and infrastructure Exposure to ML engineering and preferably some experience with Generative AI (GenAI) or at least an understanding of it Experience overseeing a team of engineers bringing up AIML platforms Experience with DataBricks AWS More ❯

For reasonable adjustments, contact . Qualifications Required: Degree or equivalent with experience in digital solutions, AI technologies, and sustainability principles. Technical expertise in database architecture, data governance, AI/ML, analytics, or data mining. Strong problem-solving, analytical skills, and ability to deliver high-quality work under deadlines. Proficiency in English, spoken and written. Preferred: Experience in delivering sustainability digital More ❯

pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving requirements Experience with cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We welcome applications from anyone inspired to build a better future with us. If you're excited More ❯

pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving requirements Experience with cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We welcome applications from anyone inspired to build a better future with us. If you're excited More ❯

Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience working at code level and understanding architecture and infrastructure Exposure to ML engineering and preferably some experience with Generative AI (GenAI) or at least an understanding of it Experience overseeing a team of engineers bringing up AIML platforms Experience with DataBricks AWS More ❯

knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems. Proficiency in hardware-software co-design, real-time computing, and middleware frameworks Experience with AI/ML integration, sensor fusion, and autonomous decision-making systems. Familiarity with embedded systems, microcontrollers, FPGAs, and high-performance computing platforms. Understanding of wireless communication protocols, power management strategies, and battery technologies. More ❯

. Strong understanding of integration technologies (e.g., Ab Initio, Mulesoft) and data architecture (e.g., Snowflake, Tableau, Microstrategy). Knowledge of cloud platforms (AWS, Azure, Google Cloud) and AI/ML enablement . Benefits: Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Caf Free soft drinks On site More ❯

/or industry specialist. What we look for: Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science/AI/Machine Learning. You will work with customers within the enterprise space focused on the Consumer Package Goods (CPG)/Retail industry sector. Engage customers in technical sales, challenge their questions More ❯

/or industry specialist. What we look for: Experience, technical consultancy and/or presales with a background in Data Engineering, Data Warehousing or Data Science/AI/Machine Learning. You will work with customers within the enterprise space focused on the Financial Services - Banking and/or Insurance (FSI) verticals. Engage customers in technical sales, challenge their More ❯

3GPP, CS & PS technologies, RAN architecture, equipment & software functionalities across traditional and emerging standards & vendors Strong understanding of cloud native & containerized network functions, DevOps, CI/CD & AI/ML, digital Technology Education & Background Masters in Engineering or Computer Science Additional qualification in relevant area preferred Leadership & Personal Qualities You're an inspiring leader who can develop and communicate a More ❯

Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, And Skills Experience working at code level and understanding architecture and infrastructure Exposure to ML engineering and preferably some experience with Generative AI (GenAI) or at least an understanding of it Experience overseeing a team of engineers bringing up AIML platforms Experience with DataBricks AWS More ❯

data pipelines, data connectors, and integration Deep understanding of data governance, regulatory compliance, and best practices for securing sensitive and global datasets. Hands-on experience integrating advanced AI/ML capabilities into operational and analytical data platforms. Extensive knowledge of modern data orchestration and workflow technologies (e.g., Airflow, Kubeflow), and infrastructure automation frameworks (Terraform, CloudFormation). Demonstrated leadership in managing More ❯

cloud-native services, and on-prem platforms to enforce security-by-design principles. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

. Strong understanding of integration technologies (e.g., Ab Initio, Mulesoft) and data architecture (e.g., Snowflake, Tableau, Microstrategy). Knowledge of cloud platforms (AWS, Azure, Google Cloud) and AI/ML enablement . Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance 25 days holiday per year On Site Gym Free soft drinks Access to cycle garage and showers Equal More ❯

on target hardware. REQUIRED QUALIFICATIONS Solid coding, algorithms, data structures and software engineering fundamentals. BS in Robotics, Computer Science, Mechatronics, Mathematics, Mechanical Engineering, or related field. Strong DNN/ML background and experience in standard domain libraries (numpy, opencv, pytorch, etc). Strong C++ or Rust experience. Experience deploying to real-time robotics systems. Eligible to obtain and maintain an More ❯

sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI More ❯

sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI More ❯

with AI Agents." LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy. Check out all our news on our website . About LILT LILT was founded by Spence and John, who met at Google working on … used for enterprise products and services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a More ❯

Data Science Integration: Integrate data science models into applications, collaborate with data scientists, develop data pipelines, and support machine-learning models in production. Experience with data science, ML models, and data processing frameworks is essential. DevOps and Application Management: Design and maintain CI/CD pipelines, monitor and troubleshoot application performance, and automate deployment and infrastructure tasks using More ❯

causal inference techniques to solve business problems. Work with cross-functional stakeholders in determining requirements for building a world-class experimentation platform. Key Requirements A postgraduate degree in statistics, machine learning, or similar … OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of More ❯

and driving an internal data education programme. Partner with the Executive and Senior Leadership Teams to define and align data roadmaps with broader commercial goals. Deploy predictive analytics and machine learning models, such as Customer Lifetime Value (CLV) and propensity scoring, and operationalise them across club systems. Lead and develop a high-performing team of data scientists, engineers … and analysts, fostering a culture of innovation, learning, and accountability. What you will bring to the role Strong experience in data platform architecture and engineering, with hands-on expertise in cloud-based environments (preferably GCP). Proven track record of leading large-scale dashboarding, reporting, and integration projects. Deep understanding of data governance, consent management, and PII handling. Experience More ❯

Engineer will join an existing software team reporting to the Chief Technology Officer. Working on a world class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied … position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

Engineer will join an existing software team reporting to the Chief Technology Officer. Working on a world class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied … position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

reliability, and compliance. Lead the transition from outsourced development to a hybrid in-house model. Ensure GDPR and security compliance across all systems. Drive innovation using the latest in machine learning and natural language processing. Define and execute a … long-term technology roadmap aligned with business goals. Identify and address technical risks and debt. Manage ongoing support and maintenance of the platform. What You'll Bring AI/ML Expertise : Deep knowledge of LLMs, NLP, and recommendation systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB More ❯