MachineLearning Operations Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled MachineLearning 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 machinelearning models in … a live environment. What you'll be doing as the MachineLearning 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 MachineLearning 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 ❯
Employment Type: Permanent
Salary: £50000 - £70000/annum bonus, 25 days holiday + more
MachineLearning Operations Engineer - Remote - 50- 70k + excellent benefits We're looking for a skilled MachineLearning 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 machinelearning models in … a live environment. What you'll be doing as the MachineLearning 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 MachineLearning 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 & MachineLearning 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 & MachineLearning Architect to design and lead the development of robust data and machinelearning systems. You will take ownership of the data architecture, drive the development and deployment of machinelearning 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 & MachineLearning 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 & MachineLearning Architect to design and lead the development of robust data and machinelearning systems. You will take ownership of the data architecture, drive the development and deployment of machinelearning 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 machinelearning 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 MachineLearning 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 ❯
Employment Type: Permanent
Salary: £70000 - £90000/annum 25+bank, bonus + 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 machinelearning 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 MachineLearning 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 MachineLearning Engineers are responsible for the engineering aspects of our customer delivery projects. As a MachineLearning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages MachineLearning; 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 ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Experis - ManpowerGroup
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 MachineLearning Engineers are responsible for the engineering aspects of our customer delivery projects. As a MachineLearning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages MachineLearning; 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 ❯
Bristol, Somerset, United Kingdom Hybrid / WFH Options
People Source Consulting Ltd
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 MachineLearning Engineers are responsible for the engineering aspects of our customer delivery projects. As a MachineLearning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages MachineLearning; 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 ❯
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 MachineLearning (e.g., AWS Certified MachineLearning - 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 ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Just Eat Takeaway.com
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, machinelearning, 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 machinelearning 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 & MachineLearning 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, machinelearning, 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 machinelearning, 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 ❯
around those assets. Key part of the assignment is to define/design/test and implement tooling requirements around this. Embedding latest technologies such as Gen AI/ML to improve resilience across the bank Use the capabilities of AI to refine, optimise existing workflows and build new capabilities We have an excellent opportunity for a forward-thinking AI … technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive. What you'll need Technical background in AI/ML, data science and practical experience of hands-on development. Understanding of machinelearning models, natural language processing (NLP), and AI algorithms Knowledge of model lifecycle: training, validation, deployment … and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Databricks) Excellent stakeholder management and communication skills. Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. And any experience of More ❯
bristol, south west england, united kingdom Hybrid / WFH Options
HVN Labs
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 machinelearning 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 ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
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 machinelearning 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 ❯
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 machinelearning 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 ❯
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 MachineLearning 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 MachineLearning 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 ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
SR2
this area within the team! What are we looking for? B2B SaaS Product Management experience, ideally in Fintech or other highly-regulated industries e.g Healthcare Experience with data science, machinelearning, or LLM-based teams – (ideally early-stage discovery work) Strong road mapping and prioritisation skills, with a track record of shipping products using Agile Data-driven mindset More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
MBDA
knowledge such as Flight Dynamics, Aerodynamics, Sensors, Servo Systems, Actuators, Autonomous Systems, Robotics, or Mechatronics Algorithms knowledge such as Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, MachineLearning Tools and Libraries such as Matlab, Simulink, Python, C/C++, Py Torch, Open AI-Gym/Universe, Model based design Experience of algorithm research and/ More ❯
on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machinelearning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Leidos Innovations UK Limited
happening. 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 machinelearning, 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 ❯