726 to 750 of 10,438 Machine Learning Jobs in the UK

all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo. You’ll shape … foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. You’ll influence the development of Monzo’s ML capabilities across diverse areas, from automating support experiences to … optimizing operational efficiency, and pioneering AI-driven products that improve customer outcomes. Beyond technical execution, you will mentor and guide the next generation of ML talent at Monzo, elevating the standard of ML expertise across the company. You’ll also be a thought leader, influencing best practices in ML model and GenAI systems development, deployment, and governance at scale. Responsibilities More ❯

criteria, monitor impact, and ensure measurable value is delivered at each stage of implementation Required Skills & Experience: Proven experience in solution architecture, with a strong focus on AI/ML or GenAI or Geo-Int implementations across complex environments Hands-on experience delivering AI/GenAI solutions in networks, telecommunications, or customer experience domains is strongly preferred Deep understanding of … Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field Certifications in cloud architecture (e.g., AWS/GCP/Azure Certified Architect), AI/ML, or TOGAF are a plus Familiarity with telco architecture, OSS/BSS systems, or geospatial analytics is an advantage More ❯

setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM-driven solutions. Architect and implement robust AI systems, including end-to-end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud- AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a … Agentic AI architectures and LLM frameworks. End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Collaboration & Stakeholder Management Coordinate with cross-functional … and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. More ❯

About our Data & ML team Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry … the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the … in the software development lifecycle, delivering high-quality software through your own work, and fostering a feedback culture within the team. Influence key decision-making across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS More ❯

Document solutions, best practices, and key learnings, sharing knowledge and providing mentorship to team members where necessary. Requirements Experience: Degree in Computer Science or related field Industrial experience using ML and GenAI to build NLP components for products Experience with prompt engineering Experience writing, reviewing, and maintaining production-quality Python code for NLP applications Experience working with CI/CD … pipelines Experience deploying ML and LLMs in production Experience working with serverless framework in AWS Experience translating complex, subjective business problems into actionable AI solutions Experience working on FinTech Experience fine-tuning LLMs Experience leading client-facing projects MsC in Computer Science or related field Experience with infrastructure as code frameworks like AWS CDK Skills: Excellent Python skills Excellent written More ❯

Document solutions, best practices, and key learnings, sharing knowledge and providing mentorship to team members where necessary. Requirements Experience: Degree in Computer Science or related field Industrial experience using ML and GenAI to build NLP components for products Experience with prompt engineering Experience writing, reviewing, and maintaining production-quality Python code for NLP applications Experience working with CI/CD … pipelines Experience deploying ML and LLMs in production Experience working with serverless framework in AWS Experience translating complex, subjective business problems into actionable AI solutions Experience working on FinTech Experience fine-tuning LLMs Experience leading client-facing projects MsC in Computer Science or related field Experience with infrastructure as code frameworks like AWS CDK Skills: Excellent Python skills Excellent written More ❯

Requirements Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java, Go). Experience with Gen AI tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/TensorFlow. Experience in building and optimising systems for performance, scalability, and reliability. Strong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt More ❯

across a technology landscape and isn't restricted by a specific skill set. However below is a list of skill sets we would expect; Strong understanding of AI and ML approaches and potential use cases. Experience in consuming and architecting AI solutions, including workflow tooling, frameworks and SDKs. Expertise in Node.js and secondarily Java and/or .NET. Expertise in … Experience developing PWAs, Web workers and Web APIs. Experience in Webapp performance optimisation, scalability, profiling and testing. Data Engineering & Architecture Familiarity with TensorFlow, PyTorch, or other relevant AI/ML frameworks Security and compliance design & implementation Mobile app development (native and/or Cross platform) QUALITIES AND CHARACTERISTICS Computer Science Degree or equivalent industry experience. 8+ years' industry experience. Be More ❯

and delivering that through the platform. The role will also be responsible for supporting the integrating to system and client APIs and preparing the ground for future AI/ML need in the business. The key differentiator we are looking for is someone who can build a data engineering capability from the ground up and build a team to support … role relate to maintaining and delivering a rolling technology roadmap for data engineering that supports business need and budget targets and preparing the ground then delivering on AI/ML opportunity. Key Accountabilities (major end results the job is expected to achieve): Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large More ❯

locally. We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice. As a Staff Machine Learning Engineer with a backend focus, you will play a pivotal role in shaping scalable AI and algorithmic solutions that directly address complex business challenges. You are expected … Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency and optimisation. Experience with architecting and implementing large-scale, distributed systems that handle significant … version control systems (Git) and collaborative development workflows. R equirements: Passion for continuous learning and a keen interest in exploring and mastering new domains, especially in AI/ML and data-driven technologies. Strong analytical skills and an ability to translate complex problems into effective, scalable solutions. Excellent communication skills to effectively collaborate with cross-functional teams and articulate More ❯

AI-compatibility. Enable the use of AI-driven data analytics and business intelligence tools to derive valuable insights from data. Promote data-driven decision-making across the organisation. Operationalise ML, GenAI & RAG - strengthen our LLM-based assistant so colleagues can ask plain-English questions and get clear answers Implement data quality management processes to identify and rectify data errors or … Developing and working with a variety of databases and data sets. Developing/optimising high-volume data pipelines, large datasets and big-data architectures. Deploying or supporting AI/ML workflows. Successfully building processes for transforming data, creating unique data structures to suit end uses, ensuring sufficiency of metadata, and developing methods for automated delivery of data sets (software tools More ❯

problem-solving and stakeholder management skills, with the ability to manage complex datasets Desirable: - Certifications in relevant technologies (e.g., Azure Data Engineer, AWS Big Data) - Familiarity with AI/ML tools, data privacy regulations (e.g., GDPR, CCPA) and compliance tools #J-18808-Ljbffr More ❯

solutions. Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project More ❯

solutions. Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project More ❯

solutions. Act as a trusted expert on GCP data and AI solutions, both internally and with client stakeholders Design and deliver scalable architectures across data lakes, pipelines, AI/ML models, and real-time analytics Work in collaboration with Google Cloud teams, ensuring alignment to best practices and cutting-edge services Build reusable assets, accelerators, and frameworks to drive project More ❯

Social network you want to login/join with: Lead Machine Learning Engineer (Agentic Infrastructure), slough col-narrow-left Client: Codesearch AI Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Over the past 8 years, Codesearch AI have had … engineers from organizations like LinkedIn and FAIR, they're now expanding their core team to bring this revolutionary product to market. The Role They're seeking their first dedicated ML Engineer to help productise their Agentic AI platform. This role is perfect for someone who loves to move fast, ship usable systems, and operate at the intersection of LLMs, infrastructure … at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain More ❯

Social network you want to login/join with: Lead Machine Learning Engineer (Agentic Infrastructure), london (city of london) col-narrow-left Client: Codesearch AI Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Over the past … engineers from organizations like LinkedIn and FAIR, they're now expanding their core team to bring this revolutionary product to market. The Role They're seeking their first dedicated ML Engineer to help productise their Agentic AI platform. This role is perfect for someone who loves to move fast, ship usable systems, and operate at the intersection of LLMs, infrastructure … at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain More ❯

all levels, provide training, and solicit feedback. Preferred qualifications, capabilities, and skills Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg. Data Science experience. AI/ML experience with building models. AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer). #J-18808-Ljbffr More ❯

Contribute to a collaborative, low-ego, high-performance engineering culture. About You Strong background in software engineering and production-grade systems. Expertise in Python (both backend and AI/ML use cases). Experience designing, building, and deploying LLM-powered applications in production. Familiarity with transformer architectures and practical handling of LLM context, prompt chaining, and prompt engineering. Hands-on More ❯

Derivatives Tech - VP London, England, United Kingdom 3 days ago London, England, United Kingdom 1 week ago City Of London, England, United Kingdom 1 month ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 months ago London, England, United Kingdom 1 month ago London, England, United Kingdom More ❯

Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Providers: AWS (EC2, Lambda), Azure More ❯

ETL pipelines ,architectures, and data sets Experience with scripting languages such as R and Python Extensive experience with a cloud platform, Microsoft Azure preferred Experience in building and maintaining ML models Prior experience working in the financial services or insurance industry (desired) Demonstrated ability to be reliable and flexible A track record of following through on commitments Ability to grasp More ❯

/SRE - Managed Systems Engineering London, England, United Kingdom 2 days ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 1 week ago Hammersmith, England, United Kingdom 2 weeks ago Greater London More ❯

Senior Data Engineer - Banking, Machine Learning sought by leading investment bank based in the city of London. Inside IR35 - 3 days a week on site Job Overview We are seeking an experienced Data Engineer to design, build, and optimize our complex data pipelines and big data infrastructure. The ideal candidate will have deep expertise in architecting scalable data … solutions, integrating machine learning workflows, and optimizing data processing systems. This role requires both technical excellence and the ability to influence architectural decisions that align with business objectives. Key Responsibilities Design and implement robust, scalable data pipelines for processing large volumes of structured and unstructured data Architect end-to-end data solutions that support machine learning … Experience with cloud-based data platforms (AWS, Azure, GCP) Proficiency in data orchestration tools (Airflow, Prefect, Dagster, or similar) Solid programming skills in Python, Scala, or Java Experience integrating ML workflows into production data systems Strong understanding of data modeling, ETL processes, and database design Demonstrated ability to architect solutions for big data challenges Preferred Qualifications Experience with real-time More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational … data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML/Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/… CPU/GPU clusters); Parallelised/distributed training for large/foundation models. Ideally >1 years of experience in a data-driven role, with exposure to: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing More ❯