576 to 600 of 10,465 Machine Learning Jobs in the UK

support to clients and their employees on new IT systems and technologies. Budget Management: Managing IT project budgets and ensuring cost-effective solutions that deliver value to clients. Continuous Learning: Staying up-to-date with the latest technology trends and certifications to maintain expertise in the field. Demand for the Profession The demand for IT Consultants is robust and … who specialize in cybersecurity and data protection. Cloud Computing: The migration to cloud-based solutions offers opportunities for consultants skilled in cloud architecture and management. Artificial Intelligence (AI) and Machine Learning: Businesses will seek consultants who can leverage AI and machine learning to enhance decision-making and customer experiences. Data Analytics: Consultants with expertise in data … infrastructure and data management systems. Green Technology: Consultants may play a role in helping organizations implement sustainable and energy-efficient technologies. Educational Technology (EdTech): With the growth of online learning, IT Consultants can support educational institutions in enhancing their digital learning environments. Fintech: The financial technology sector relies heavily on IT Consultants to ensure the security and efficiency More ❯

role The QA Engineer plays a key role within the Napier Engineering group. You will be responsible for building, maintaining, and executing quality-assured automation scripts using modern AI, Machine Learning, and web-based tools. You will investigate root causes of functional issues, and then adjust and improve test cases based on the findings. You will work with … standards and improvements supporting Napier's goals. Your creativity and ideas will be encouraged and supported-your input matters! Key accountabilities: Develop and execute quality-assured automation scripts using machine learning, web, and API-based automation tools Collaborate with developers to build and execute test cases for new or updated product features Participate in daily scrum calls, provide More ❯

and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning … working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such … as machine learning models Job Benefits Life at Made Tech We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like More ❯

that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they … Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits More ❯

skills. Excellent collaboration skills, including working with external vendors. Effective communication skills, with experience presenting to senior management. Understanding of business processes and how technology aligns with segment priorities. Learning agility and enthusiasm for new technologies. Negotiation and influencing skills, with a proven ability to deliver in matrix organizations. Key Responsibilities Design and maintain data architecture, strategies, and pipelines … and platforms across Demand, Supply, R&D, and Commercial areas. Communicate analytics capabilities, standards, and processes effectively. Collaborate on technical architecture development with engineers and architects. Expand knowledge in machine learning, data science, AI, and related fields. What can you expect from Mars? Work with diverse, talented teams guided by our Five Principles. Join a purpose-driven company … committed to building a better tomorrow. Access to top-tier learning and development resources, including Mars University. Competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Assistance and accommodations are available More ❯

we will transform our sector for our players, for ourselves and for the good of entertainment. Are you a strategic thinker with a deep technical background in data science, machine learning, and AI? Do you thrive on transforming complex data into actionable insights? At Entain , we're looking for a Senior Data Science & AI Manager to lead our … function. Business Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results. What You’ll Bring Essential Expertise Deep knowledge in AI/Machine Learning, Statistical Analysis, and Algorithm Design Strong experience in Data Lifecycle Management, Predictive Analytics, Data Governance, and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL More ❯

Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks More ❯

address their challenges related to the delivery of data management and modelling services. Develop your network and expertise in innovative areas including generative AI, user-centred design, advanced analytics, machine learning, data visualisation, data modelling, as well as information governance. Employ your skills and experience across all areas of Analytics and AI to drive initiatives with our clients … proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile Successful candidates will have the opportunity to shape new initiatives to … Platform, Amazon Web Services, Microsoft Azure. An understanding of good data management practices, supported by experience using data lineage mapping tools such as Collibra, Talend, Informatica, etc. Experience applying machine learning concepts and tools, or interpreting their outputs. Experience with developing end-to-end pipelines including quality assuring and interrogating the end result for accuracy and validity compared More ❯

Pentaho BA Experience of working in an agile software development environment Experience estimating task effort and identifying dependencies Excellent communication skills Familiarity with Python and its numerical, data and machine learning libraries Favourable If You Have Experience of Hadoop and Jenkins Azure Certified AWS Certified Familiarity with Java This position is a full time, permanent role and applicants … transportation. What Makes Us Different Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

same year. Job Description Purpose for the Job: To play a pivotal role in enhancing the performance, reliability, and profitability of our renewable energy assets. To leverage advanced analytics, machine learning, and data visualization techniques by driving data-driven strategies to optimize operations (and maintenance), forecast performance, and support strategic decision-making aligned with our goals. To work … Science, Engineering, Mathematics, or a related field. Preferred Experience: Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). Job-Specific Skills: Strong analytical and problem-solving abilities. Excellent communication and More ❯

technical direction, champion best practices, and stay at the forefront of the rapidly evolving AI landscape, particularly within the GenAI space. We are looking for a seasoned AI/ML professional with a proven track record of building and deploying impactful AI solutions. You should possess strong analytical and problem-solving skills, combined with excellent communication and leadership potential. Essential … foundational skills include: Deep proficiency in Python or JavaScript/TypeScript and associated AI/ML SDKs. Solid experience with cloud platforms, specifically AWS (including services like SageMaker, Lambda, S3, EC2, Bedrock). Strong software engineering fundamentals (API design, data structures, algorithms, version control with Git, testing methodologies). Understanding of full-stack application architecture and integration points. Experience working … of modern RAG systems. Highly Desirable: Experience building B2C applications (e.g., chatbots), exploring Agentic AI patterns. What can we offer you? Freedom to help, plan and lead AI/ML architecture decisions in a fast-growing company. Extensive training and learning opportunities. Flexible hybrid work arrangements. An international work environment with colleagues from different nationalities. Autonomy and empowerment to More ❯

processes to respond effectively to business opportunities and collaborate across teams. Your Profile Capgemini Invent DNA Highly collaborative, able to coach peers, and promote team cohesion. Passionate about continuous learning and developing expertise in workplace technologies. Proactive and entrepreneurial, willing to go the extra mile. Business and Methods Capable of storytelling to communicate our Workplace AI offerings and value. … Generative AI and Agentic AI, understanding of risks involved. Experience or knowledge of programming languages such as Python, React, Java, or SQL. Understanding of AI solution development, including models, learning patterns, and applications. Awareness of security standards and regulatory requirements, with some experience in security measures. Preferred Experience Evaluating frontier technologies like LLMs, foundation models, vector databases. Defining solution … requirements via business analysis. Developing and deploying machine learning models with modern techniques. Integrating models with vector databases and embeddings for semantic search and RAG applications. Working within a Data Mesh architecture, collaborating across domains, and deploying solutions using Docker and Kubernetes. Certifications and Experience Masters-level degree or higher. Relevant technology certifications (e.g., Microsoft). UK security More ❯

on experience with Oracle Fusion Data Intelligence (FDI) with a strong focus on data modelling and analytics. Extensive knowledge of Oracle Analytics offerings, including Fusion Data Intelligence, OAC, OBIEE, Machine Learning, and ADW. Strong expertise in data warehousing concepts, including ETL, data pipelines, and semantic modelling within Oracle FDI. Proven ability to build advanced analytics, KPIs, and data … requirement-gathering sessions, and provide data-driven solutions. Experience in performance tuning and data security policies within Oracle FDI and related cloud applications. Ability to upskill in digital analytics, machine learning, and emerging Oracle cloud technologies. Excellent communication, analytical, and problem-solving skills, with experience in training business users and super users. This role is ideal if you More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to … to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement continuous integration and delivery pipelines for efficient model deployment. Model Monitoring : Monitor machine learning models in production, ensuring ongoing performance and reliability. Collaboration : Work with … machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data More ❯

Actively participate in knowledge sharing within the Analytics excellence team, the wider data team and business teams. Providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning : Keep up-to-date with advancements and trends in data science and marketing analytics to ensure we employ the most optimal techniques, tools and … business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills : Strong programming experience, ideally in Python. Ability and willingness to work alongside analytics engineers, data analytics … technical (software, data and platform engineers). Practical mindset with a focus on team outcomes as well as being a self starter able to proactively drive forward initiatives. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. At Funding More ❯

Oxford, but we have many flexible and partially remote options. About Us Based in Oxford, Plyable is an award-winning startup that specialises in using the latest AI and machine learning technology to automate the quoting, design and production of tooling and parts for composite (carbon fibre) manufacturing. The demand for composites is surging, particularly in industries such … this, but would not be a part of the role unless desired) Our Culture We are a new player in a traditional manufacturing industry and the team is constantly learning and willing to question the status-quo. We take quality code very seriously. We work in small intelligent teams. We have developer freedom, meaning we have a common goal More ❯

company’s technology strategy, ensuring alignment with business goals. Drive innovation and ensure the organisation stays ahead of industry trends in relevant technologies such as cloud infrastructure, AI/ML, and modern web technologies. Identify, evaluate, and integrate new technologies to improve products and services. Lead the design, architecture, and scaling of AWS infrastructure (e.g., EC2, S3, Lambda, RDS, etc. … data storage, retrieval, and analysis. AI and Large Language Models (LLMs): Lead efforts to integrate Large Language Models (LLMs) (e.g., GPT, BERT) into products and workflows. Implement AI/ML pipelines for natural language processing (NLP), recommendations, and automation. Evaluate and recommend new AI technologies to improve user experience and business outcomes. Web Scraping: Design and implement web scraping systems … experience working with AWS cloud infrastructure, particularly in scaling and securing applications. Expertise in database management, particularly with PostgreSQL and OpenSearch. Strong background in implementing and managing AI/ML systems, including Large Language Models (LLMs). Experience with web scraping tools and techniques, including managing legal, ethical, and performance considerations. Experience in agile development practices and working with cross More ❯

all aspects of the agency's work. Minimum Qualifications: Proven experience in a data science or AI-related role, preferably within a creative or marketing agency. Deep understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. Experience with cloud computing … Salary/Bonus: Competitive Salary based on knowledge and experience Bonus linked to business profitability Cycle to Work scheme Breakfast and healthy snacks in the office Monthly wellbeing allowance Learning & Development: Team and Personal development budget Lunch & Learn sessions Time Off: 26 days' annual leave plus bank holidays Enhanced parental leave How We Work: Hybrid, flexible working, three days More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … on-premise technologies from Microsoft, IBM, Oracle, HP, SAP. Experience developing software code in one or more programming languages (Java, Python, etc.). Relevant experience in building large scale machine learning or deep learning models and Generative AI model development. Eligibility for the UK Security Clearance. Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3 … as statistics, mathematics, data science, engineering, or computer science. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to More ❯

and ensure your processes are documented for scalability. What You’ll Bring: Must-Have: A degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks … FastAPI), and building custom dashboards (Dash). Why You’ll Love It Here: Variety and Challenge: No two projects are the same. You’ll work across multiple industries, constantly learning and growing as you tackle new problems. Innovation at the Core: We’re at the cutting edge of AI and marketing, and you’ll have the freedom to experiment More ❯

how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here! You will … skills Strong analytical skills, with excellent problem solving abilities Preferred Qualifications Experience with big data solutions Direct experience with fleet orchestration for both virtual and containerized workloads Knowledge of Machine Learning fundamentals Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures Working familiarity with storage principles, protocols and practices Working familiarity with building secure More ❯

architecture through implementation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Experience designing data platforms that support analytics , machine learning , and real-time operational workloads . Familiarity with data governance , privacy , and compliance frameworks (e.g., GDPR, HIPAA). Background in customer-centric or product-driven industries such More ❯

architecture through implementation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Experience designing data platforms that support analytics, machine learning, and real-time operational workloads. Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR, HIPAA). Background in customer-centric or product-driven industries such as More ❯

Expertise Technical skills Good understanding of linear algebra (vectors, matrices, tensors etc.) and statistics (probability distributions, probability, bayesian stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised … learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI (open and closed source) - LLM, RAG, Fine Tuning Performing model selection and evaluation Knowledge of cloud (AWS/Azure/GCP) Business skills Working directly with clients, users and data engineers Showcasing and presentation skills Evidence of self-development – we value keen learners We are always More ❯

like Docker Understanding of data governance principles and practices Understanding of how genAI models can be used in data engineering Experience with real-time data processing Basic understanding of machine learning workflows and how data engineering supports them Additional Information At Entain, we know that signing top players requires a great starting package, and plenty of support to … use at either Christmas or New Year Entain & Enhance days - 2 paid days off to focus on your professional or personal development Share save scheme Paid subscription to LinkedIn Learning And outside of this, you'll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a More ❯