451 to 475 of 3,223 Machine Learning Jobs in the UK

data, and innovation testbeds. Your role will involve analysing and visualising data; developing analytical models and prototypes; supporting the application of artificial intelligence and machine learning techniques; and communicating findings to both technical and non-technical audiences through reports and presentations. You will work as part of multidisciplinary … teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Key Responsibilities Proven experience in applying data science in an industry ...

integration challenges. Excellent stakeholder management and communication skills. Experience enabling analytics, reporting, and self-service data capabilities. Understanding of emerging technologies including AI, machine learning, real-time analytics, and data lakes. Desirable Experience Experience with Hadoop, Spark, Kafka, or similar big data technologies. Exposure to advanced analytics … machine learning solutions. Relevant certifications such as CDMP, Azure Data Engineer, or AWS Data Analytics. Experience working within large-scale infrastructure, asset-intensive, or highly regulated environments. #J-18808-Ljbffr ...

programme but typically include: Designing and developing AI-powered applications using Python, TypeScript or similar technologies Building solutions using Large Language Models (LLMs), Machine Learning and other AI techniques to solve complex operational challenges Developing secure, scalable software for classified environments Supporting solution architecture and technical design across … Active UK eDV Clearance Experience developing software using Python, TypeScript or similar programming languages Strong understanding of Artificial Intelligence, including modern LLMs and traditional Machine Learning techniques Experience designing and delivering software solutions across the full development lifecycle Strong problem-solving skills with the ability to work ...

leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We operate at the intersection of data, AI, machine learning, data engineering, and software engineering—building bespoke platforms and products that turn complex data into real-world outcomes. We work with enterprises … both remote and in-person team members and stakeholders The Team You’ll join a high-performing engineering team working on a large-scale machine learning platform for a global telecommunications client. The team operates with a high degree of autonomy and shared ownership. Engineers work across ...

cybersecurity, preferably within financial services, banking, or a regulated environment. Strong analytical and coding capabilities, with hands‐on experience in Python, R, SQL, machine learning techniques, and data science frameworks to develop and enhance fraud detection models. Some Other Highly Valued Skills May Include Experience leading, mentoring … primarily located at our Northampton office, however we may consider Radbroke and Glasgow. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision‐making, improve operational efficiency ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). Knowledge of Enterprise Architecture … innovation with the ability to balance technical excellence against commercial delivery. Technical Experience You'll ideally have experience across a combination of: Generative AI Machine Learning Intelligent Automation Microsoft Power Platform Azure/AWS/Google Cloud APIs & Microservices SQL & NoSQL Databases DevOps & CI/CD MLOps Enterprise ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs.**Requirements:*** Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).* Strong experience in machine learning, NLP, and LLM-based modeling.* Strong experience designing and running experiments, including model evaluation and iteration.* Strong coding skills in Python.* Experience ...

learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models. It now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle, from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top‐tier engineers … dispute systems. Collaborate with platform and backend engineers to integrate models seamlessly. Experience and qualifications 5+ years of experience as an MLOps/ML Engineer. High proficiency in writing clear, production‐ready Python code. Experience with production ML models (online or offline) and standard MLOps practices. Experience with monitoring ...

learning roles talk about building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle-from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

that push the boundaries of AI integration in cloud services. Thought Leadership and Client Engagement Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud native applications and architectures. Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building … software development. Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Big Data: Experience with Hadoop and Spark. Ethics: Knowledge ...

Azure Desirable Docker and Kubernetes experience Experience with AWS, or Google Cloud Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

product organizations Experience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience … financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields About Us J.P. Morgan is a global leader in financial ...

operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full‐stack engineers to build production‐grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible … technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production‐grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do Design and build scalable backend infrastructure for content moderation, abuse detection and agents ...

Expert Level proficiency in Python and SQL. Deep, hands‐on experience with statistical modeling, (quasi) experimentation, multi‐arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from … high-scale technology company, marketplace, e-commerce business, or travel technology organisation. A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. Experience building and scaling experimentation platforms, measurement frameworks, self‐service capabilities, or data products. Experience applying ...

data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine learning, Generative AI and Large Language Models into scalable, secure and sustainable solutions. This is a permanent within our Technology Solutions function. … data value chain - Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures - Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches - Experience implementing robust data management, security and governance for public ...

APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling. Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive ...

build robust ETL/ELT pipelines and analytics-ready data solutions. Collaborate with Data Scientists and Engineers while also gaining exposure to AI and Machine Learning initiatives.**Key skills required for this role include:**- Proficiency in Databricks and experience with Medallion Architecture.- Strong programming skills in Python ...

means more to make an impact that matters through challenging projects which demand ambitious innovation and thought leadership. Develop cutting-edge AI and machine learning solutions that drive business impact at scale. Work at the intersection of data science, engineering, and commercial strategy to shape intelligent decision-making. … Lead innovation through Generative AI, advanced analytics, and modern machine learning technologies. The Role As a Google AI Forward Deployed Engineer , you will function as an embedded builder-consultant within customer accounts, translating AI strategy into production-ready solutions. You will work directly within customer environments to architect ...

with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What … understanding of regulatory, ethical, accuracy and security considerations for developing autonomous agentic systems (Desirable): Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject Benefits 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health ...

systems. Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

Developer Experience with Azure cloud technologies. Knowledge of microservices and event driven architectures. Experience working within UK Public Sector environments. Exposure to AI or Machine Learning technologies. If you are interested in this Senior Software Developer opportunity, please apply with a copy of your most up to date ...

.* **Familiarity with modern infrastructure paradigms**, such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous.* **Understanding of AI, machine learning, or advanced quantitative analytics** applications in financial systems is a strong plus.* **Outstanding communication and collaboration skills**, with the ability to interact … Medical Care & Life Insurance* Employee Assistance Program* Pension Plan* Paid Parental Leave* Special discounts for employees, family, and friends* Access to an array of learning and development resourcesVisit our Global Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable ...

test, and maximise the value of models ranging from LLMs to propensity and classification. Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment … maximum impact. We're looking for someone who is: An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI. A proven builder: You've successfully created multiple Data Science products that have moved the needle. A deployment ...

more* Use existing platforms, tools and APIs to collect and analyse data, both structured and unstructured, including text, images and video* Use statistics, machine learning techniques and AI to solve complex challenges for our clients, especially regarding their communication and reputation management efforts* Build tools, dashboards, pipelines … your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach ...