1 to 25 of 50 Machine Learning Jobs in Bristol

Machine Learning Operations Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in … a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting … to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and More ❯

Machine Learning Operations Engineer - Remote - 50- 70k + excellent benefits We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in … a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting … to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead … Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement … Maintenance: Establish retraining workflows and manage model updates as systems and data evolve. Cross-functional Collaboration Project Engagement: Work closely with project managers and stakeholders to align data and ML capabilities with new features and strategic initiatives. Requirements Gathering: Collaborate with business teams to define clear, actionable requirements for data pipelines, storage solutions, and ML workflows. If you are interested More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead … Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement … Maintenance: Establish retraining workflows and manage model updates as systems and data evolve. Cross-functional Collaboration Project Engagement: Work closely with project managers and stakeholders to align data and ML capabilities with new features and strategic initiatives. Requirements Gathering: Collaborate with business teams to define clear, actionable requirements for data pipelines, storage solutions, and ML workflows. If you are interested More ❯

Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you'll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading … the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for model deployment … GitHub Mentoring junior engineers and fostering a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and More ❯

Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you'll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading … the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for model deployment … GitHub Mentoring junior engineers and fostering a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and More ❯

What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You … will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing the companies view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to More ❯

What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You … will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing the companies view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead … Data & Machine Learning Architect to design and lead th... More ❯

experience managing small software teams and will be equally comfortable working with internal teams or external customers and partners. The successful candidate must have experience managing software projects involving Machine Learning or A.I technology. You can expect to be working as part of a world renowned, expert engineering team, with state-of-the-art subsea robots on exciting … to scope and budget, or have relevant professional experience that demonstrates the ability to step-up to this level of responsibility. You will also have experience delivering software involving Machine Learning or A.I and will be able to discuss these technologies at a high level with non-technical audiences. Experience delivering defence-related software projects would be helpful … managing software development teams and have a proven track record of delivering software projects on time, on budget, and to specification. Demonstratable experience delivering and managing software projects involving Machine Learning or A.I components, with the ability to discuss these technologies to a non-technical audience. Experience developing, mentoring and managing engineering staff Excellent communication and interpersonal skills More ❯

technologies and will have the opportunity to develop a wide range of new skills on the job. What you will learn How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The latest … of standard patterns and templates for emerging technologies based on client delivery experience and research Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural patterns and best practices e.g. … Engineering and DevSecOps Set yourself apart Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty) Certified cloud Architect Experience of delivering production AI/ML services for scaled end user consumption What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which More ❯

the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver … fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record … in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience : Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen : Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong More ❯

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets click apply for full job details More ❯

timely delivery. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Work alongside the team Product Owner to plan and manage the delivery of feature roadmap to drive continuous improvement and operational excellence. Why Lloyds Banking Group We're on … Data Engineer/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies- e.g. batch/streaming pipelines, machine learning, artificial intelligence etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our ambition is to be More ❯

with secure software development and defence-grade compliance. Knowledge of LLMs, generative AI, or autonomous decision systems. Understanding of procurement regulations (e.g., MOD, NATO, or equivalent). Application of machine learning, natural language processing, and predictive analytics to automate and optimise procurement workflows. What We Offer: Opportunity to shape the future of defence procurement through AI. Direct impact More ❯

Desirable (but not required) Skills Familiarity with drone software stacks (e.g. ArduPilot, PX4). Experience with telemetry protocols like MAVLink. Awareness of cybersecurity practices in distributed systems. Exposure to machine learning in robotics, optimisation, or anomaly detection. Experience in safety-critical or high-reliability systems engineering. Knowledge of containerisation and cloud deployment (Docker, Kubernetes, AWS/GCP). … future product lines. Hands-on collaboration with experts across aerospace, robotics, AI, and creative industries. Access to live flight testing, simulators, and advanced development tools. A supportive culture of learning, experimentation, and professional growth, with opportunities for mentorship and career progression. Job Types: Full-time, Permanent Pay: £35,000.00 per year Benefits: Company pension Free parking On-site parking More ❯

dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and collaborative environment where innovation thrives, and continuous learning is a priority. With a strong focus on professional growth and career advancement, our department fosters entrepreneurial thinking and drives innovation by constantly seeking new business opportunities. As a … you will: Be engaged at the forefront of technological advancements in GenAI and expected to keep up to date with latest trends Build and/or deploy LLMs and ML models in the Cloud, or on HPCs Lead the day-to-day technical engagements on a project, helping to manage a small team Be the go-to technical expert for … governance and security best practices. It would also be great if you have: Basic familiarity with utilizing GPUs in the cloud environment Familiarity with monitoring tools and techniques for ML models and data pipelines Experience building APIs Demonstrable experience with modern CI/CD pipelines Knowledge of good DevOps and Data Engineering practices As a technology consultancy, we look for More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. What we're looking for: 4+ years' experience building enterprise-grade applications. More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

Apache Spark Implement ETL/ELT workflows to extract, transform and load large-scale datasets efficiently Develop and optimize Python-based applications for data ingestion Collaborate on development of machine learning models Ensure data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms More ❯

Where you'll be stretched (and thrive) Own engineering at Squarcle: lead the team, shape the culture, and define how we build software Innovate with impact: explore AI and machine learning in Defence, and Supply Chain projects that set us apart Shape the future: experiment with new ideas, influence major technical decisions, and see your work make a … ve completed your probation. Recognition and rewards £1,000 referral bonus for successful hires Performance related awards Milestone and life event hampers to celebrate life's big moments Development & learning Annual training week abroad Funding for qualifications that benefit both you and the business Travel & wellbeing Cycle to work scheme Discounted travel through funded railcards Pension Our pension provider More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

site client workshops, demonstrations and training, usually up to 2-3 times per year. Desirable Experience Familiarity with Robotics Middleware (e.g., ROS) and distributed robotics systems Simulation, Robotics and Machine Learning knowledge Experience deploying robots and/or autonomous vehicles in real world environments Experience in cybersecurity and/or Secure by Design concepts Experience designing and implementing … concise and professional manner and thrive in a team environment. You actively foster a positive, inclusive culture and willingly share your knowledge and support others. You are passionate about learning and growth and are motivated to expand your skills, ask questions, and engage actively in your development. To apply please send a recent copy of your CV and a More ❯

site client workshops, demonstrations and training, usually up to 2-3 times per year. Desirable Experience Familiarity with Robotics Middleware (e.g., ROS) and distributed robotics systems Simulation, Robotics and Machine Learning knowledge Experience deploying robots and/or autonomous vehicles in real world environments Experience in cybersecurity and/or Secure by Design concepts Experience designing and implementing … concise and professional manner and thrive in a team environment. You actively foster a positive, inclusive culture and willingly share your knowledge and support others. You are passionate about learning and growth and are motivated to expand your skills, ask questions, and engage actively in your development. To apply please send a recent copy of your CV and a More ❯