1 to 25 of 4,317 Machine Learning Jobs in the UK

environment. Ability to write clean, scalable, robust code using python or similar programming languages. Background in software engineering a plus. Knowledge of data governance frameworks and practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data More ❯

Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research and proof-of-concept to scalable production. We're looking for a doer who can rapidly prototype models, optimize for … integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model … and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses. Establish best practices for data labeling, versioning, and governance to ensure high data quality. Implement ML Ops processes: CI/CD for model training, automated testing, model-drift detection, and continuous monitoring. 4. Team Building & Mentorship Hire and mentor AI/ML engineers, data scientists, and More ❯

Job Description Salary- 90k-100k, plus 25k bonus Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You’ll report directly to the CEO/CTO and own the full lifecycle of our AI roadmap—from research and proof-of-concept to scalable production. We’re looking for a “doer … integrate AI features into our platform. • Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. • Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development • Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model … and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses. • Establish best practices for data labeling, versioning, and governance to ensure high data quality. • Implement ML Ops processes: CI/CD for model training, automated testing, model–drift detection, and continuous monitoring. 4. Team Building & Mentorship • Hire and mentor AI/ML engineers, data scientists, and More ❯

C# Systems & Tools: Knowledge of or experience with: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity: Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is More ❯

Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all … for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including … data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate More ❯

on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data … inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers … and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

to clearly communicate complex technicalities to any audience A passionate drive for code quality & results About the Role We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing data science team in London (we are 5 at the moment), who is especially passionate about software engineering of the Data science solutions. In this … selecting, filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

to use your technical expertise to make a real difference. The Role - Technical Industrial Placement - Space, Defence & Intelligence With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … your STEM background to drive innovation. Hands-On Experience: You'll be part of a community that values respect, belonging and continuous development. With mentorship programs and access to learning resource, we're committed to helping you thrive in your career. Why Choose CGI's SDI Sector? For nearly 50 years, CGI has been a key player in Space … ideas are recognised and contribute to the success of the team and the organisation. Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Creative: Our Student Kick-start Initiative will give you the chance to work with fellow industrial placements on creative and More ❯

Machine Learning role will drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations. This role also exists to provide technical oversight of and direction for the design, development, and implementation of value-generating data science solutions across the business. … translate complex technical concepts to non-technical stakeholders (Data Engineering to the Business) Extensive experience (5+ years) with Python and/or SQL Proven expertise and experience of Shallow ML frameworks - regression, classification, clustering; time series forecasting (prophet, ARIMA, SARIMA); dimensionality reduction approaches Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive … operational and infrastructure cost efficiencies. Knowledge of wider data warehousing, data architecture of data modelling concepts. Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production. Working knowledge of CI/CD practices. Tech Stack (Nice-to-Haves): Experience productionising recommender engines and ensemble ML in Google Cloud Experience or exposure to managing ML Infrastructure More ❯

in creating solutions that has cloud, web, mobile app components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain specific languages, native and cross platform development, etc. Soft Skills Excellent leadership, decision-making, and problem … skills Preferred Qualifications Experience in Telecoms and technology domains preferred Experience in developing private-cloud based software products and platforms Experience in leading edge technologies such like AI/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince More ❯

in creating solutions that has cloud, web, mobile app components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain specific languages, native and cross platform development, etc. Soft Skills Excellent leadership, decision-making, and problem … skills Preferred Qualifications Experience in Telecoms and technology domains preferred Experience in developing private-cloud based software products and platforms Experience in leading edge technologies such like AI/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince More ❯

advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. Our More ❯

computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You'll … into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: Proficiency in programming languages used in ML, such as Python/Java. Knowledge of software development best practices and methodologies. Experience with version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong … analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing More ❯

computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You'll … into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: • Proficiency in programming languages used in ML, such as Python/Java. • Knowledge of software development best practices and methodologies. • Experience with version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong … analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing More ❯

lead the full lifecycle of impactful AI-driven product initiatives, from early discovery to deployment, designed to solve talent management processes for customers. Design, build, and scale production-grade ML systems that extract insights from rich, semi-structured text data. Invent and implement novel models and algorithmic techniques that improve the relevance, performance, and scalability of our talent intelligence and … and robust, user-facing applications. Experiment rapidly and iterate on PoCs, leveraging state-of-the-art models, LLMs and agentic workflows to explore new capabilities and product directions. Leverage machine learning techniques such as LLMs, RAG (retrieval augmented generation) and agentic orchestration frameworks to automate complex decision flows and generate insights from customer data. Mentor and guide a … of talent management-and ready to turn that potential into real, scalable products. We'd love to hear from you if you have: Proven experience delivering end-to-end ML projects, from early experimentation to production deployment. Comfort with ambiguity, and the ability to shape, test, and validate product ideas in fast-moving environments. Deep expertise in NLP and GenAI More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is … data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical and non More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

robust, scalable, and secure, supporting the seamless delivery of our innovative products. This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs. You have Excellent problem-solving and technical skills Experience in building platforms with custom deployment models Structured working approach and ability to piecemeal … with data protection regulations A Bonus: Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking NLP & AI-related projects Remote working (Remote must be within 4-5 hours of CET timezone More ❯

back to the product. Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns. Be a mentor to your team members, while also learning from them to accelerate your skills. What You Bring Along: Minimum 7 years as a consultant, engineer or architect who has deep expertise in Enterprise Search concepts and technology … Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM's, Lucene. Occasional travel may be required. Bonus Points: Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification Experience working closely with a pre-sales organization in scoping the needs … of Customers Comfortable with Ansible, JavaScript, Terraform ECK experience or Kubernetes Knowledge of machine learning and Artificial Intelligence (AI) Proven understanding of Java and Linux/Unix environment, software development, and/or experience with distributed systems Experience and curiosity about delivering and/or developing product training Experience contributing to an open-source project or documentation LI More ❯

ideas are recognised and contribute to the success of the team and the organisation. Be Empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Collaborative: Our Student Kick-start Initiative will give you the chance to work with fellow graduates on creative and impactful … Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is More ❯

ideas are recognised and contribute to the success of the team and the organisation. Be Empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Collaborative: Our Student Kick-start Initiative will give you the chance to work with fellow graduates on creative and impactful … Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is More ❯

best practices across the development lifecycle. Architecture & Design: Oversee system architecture decisions, ensuring alignment with business goals and scalability requirements. Mentorship: Mentor and guide junior developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient … Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have the support More ❯