1,251 to 1,275 of 6,476 Machine Learning Jobs in the UK

passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? About the team: We are a software engineering team responsible for developing and supporting business-critical platforms … wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture ...

organising team Clear, persuasive communication with both technical and non-technical stakeholders Nice to have: platform engineering exposure, event sourcing/data modelling experience, ML/AI operationalisation on data platforms, PostgreSQL, dbt. Details: Hybrid, 2-3 days/week in London. 12-month contract, £550/day outside IR35. ...

/GitHub, GitHub Actions, and Docker. Experience developing microservices and/or Lambda-based solutions. Strong experience with PostgreSQL. Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS, Terraform, Kubernetes, Hugging Face, PyTorch/TensorFlow, or Generative AI tooling would ...

technical stakeholders Desirable Experience with: Vulnerability research/exploit development Manual penetration testing Cloud, web, embedded or mobile security Splunk/OSQuery AI/ML security Distributed systems AWS Security Specialty, OSCP, CISSP, CCSP, CCAK or SANS/GIAC certifications Why consider it? You'll join a global technology organisation ...

experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

architecture Exposure to relational database platforms and cloud data warehousing solutions Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas #J-18808-Ljbffr ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Masters degree or PhD in Engineering, Computer Science, or a related technical field. Experience ...

third-party suppliers and multiple concurrent priorities will also be important. Exposure to Microsoft Fabric, Power BI, Power Platform, advanced analytics or AI/ML data solutions would be advantageous, as would Microsoft Azure certifications and experience within FMCG, Retail or a multinational organisation. Why Consider This Azure Data Platform ...

running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring ...

/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps). Familiarity with database or microservices testing. Experience with new technologies, such as AI/ML within projects. Proficiency in programming/scripting languages: Java, Python, JavaScript, C#, or similar. Demonstrated experience in a technical leadership capacity, with the capability ...

building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In Return Fletchers Offers Bonus scheme (subject to targets being met) 35 days holiday a year including bank holidays ...

operational data according to sensitivity and security requirements. Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements Capable of finding a balance between best ...

with solution architecture, including creating architecture diagrams, data models, and technical specifications. Broad technical knowledge across analytics platforms, data engineering tools, and AI/ML technologies. Tool-agnostic mindset with ability to evaluate and recommend appropriate technologies for specific use cases. Excellent communication skills, with ability to explain complex technical ...

technical concepts to varied audiencesA proactive, self-directed mindset with strong problem-solving skillsDesirable: Experience within the airline or travel industryExposure to AI/ML solutions and productionisationExperience with Databricks, Snowflake or modern lakehouse platformsInfrastructure-as-code and serverless pipeline experienceData lake migration and solution architecture experienceWHAT ...

Claude Code, Cursor) as production accelerators, with the credibility to evaluate and coach engineers on how they use them Skilled in applying AI/ML to complex data challenges, including designing architectures for generative AI and RAG solutions, and automating data pipelines Experience with CRM and/or ERP ecosystems ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. ...

entire technical stack, driving architectural decisions and mentoring others to ensure we ship scalable, high-performance systems that transform how our customers interact with Machine Learning. What you'll be doing: Leading the architecture and design of complex projects to ensure they are robust, scalable, and aligned with long ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle-from requirements clarification ...

model governance. Strong communication skills, able to explain complex concepts clearly. The following will be an advantage; Experience delivering GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance core platforms (Guidewire, Duck Creek, Sapiens) and document-heavy workflows (ACORD forms, loss runs, policy documents). ...

with each feature. About you: Qualifications and experience: Essential: Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience. ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware process management, resource monitoring, versioned promote ...

public cloud environments (AWS, Azure, or GCP).Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...