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Location: Bristol or Southampton (20% onsite) Duration: 6 month contract Rate: £61.90ph LTD (Outside IR35) Role details: Our client, a prominent player in the Defence & Security sector, is seeking a Senior Software Engineer with expertise in Python, Docker, and Cyber Security for a 6-month contract based in Bristol or Southampton. The role involves a hybrid working model with approximately 20% onsite presence. Key Responsibilities: Take ownership of specific software work packages, including low-level planning, delivery, and reporting, with the ability to work independently and autonomously. Possess a strong understanding of microservice software architecture. Design, implement, document, and test software modules and components. Peer review code, application design, and test results to ensure compliance with standards and governance. Troubleshoot complex issues and provide technical guidance to engineers. Mentor and support junior developers, sharing knowledge and best practices. Contribute to design reviews, risk assessments, and stakeholder reporting. Build production-grade software components with integration into wider systems in mind, collaborating with systems, test, and DevOps teams. Suggest and drive improvements in development processes, tools, and practices. Clearly communicate updates, risks, and review points upwards. Job Requirements: Strong technical ability with proven experience in delivering software components and modules. Ability to work confidently, strategically, and autonomously. Balance hands-on coding with document writing and planning session participation. Core Areas (Must Have): Proficiency in Python (including pytest), git, Docker, and AWS with prior experience building full-stack Flask applications. Experience designing, implementing, and testing software components. Knowledge of secure coding practices and cyber security considerations. Familiarity with version control and configuration management (Git, AWS). Experience integrating software within larger systems and platforms. Understanding of Agile delivery methods. Desirable Skills: Experience or knowledge in CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS). Understanding and awareness of Machine Learning pipelines. Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure). Exposure to additional automated testing frameworks (Selenium, JUnit, NUnit). ISTQB Foundation/Advanced or equivalent testing knowledge. Experience mentoring early-career engineers. Awareness of model-based engineering or architecture tools (UML, SysML). If you are a skilled Senior Software Engineer with experience in Python, Docker, and Cyber Security, we would love to hear from you. Apply now to join our client's dynamic and innovative team in the Defence & Security sector

My hi tech defence client are looking for a motivated, curious and technically minded Full Stack Engineer to help us scale data and analytics capabilities across the UK and international markets. In this role, you will contribute to the design, development and maintenance of the data pipelines, platforms and services that power my clients hi tech analytics. Working closely with experienced engineers, analysts and delivery teams, you will help build customer focused, scalable, and innovative solutions that enable better decision making in defence. You will also be encouraged to leverage modern AI tools to accelerate high quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools. • Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++). • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards. • Contribute to system architecture, technical decisions, documentation and code reviews. • Maintain and improve CI/CD pipelines, advocating for best practices in testing, deployment and release management. We expect you to have: • Professional experience in full stack software development, ideally in a data-focused or product orientated environment. • Strong backend development experience (preferably with Python), particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). • Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). • Experience working with containerised applications (e.g. Docker compose, Swarm or Kubernetes) in a Linux-based environment. • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows. • Familiarity with ETL processes, data warehousing and distributed systems. • Ability to obtain UK Security Clearance (SC). We'd love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • 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 network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where compliance or restricted networks are a factor. • Experience of leveraging the power of the rapidly emerging AI agents without compromising on quality. Interested? Apply today or reach out for a confidential discussion. TPBN1_UKTJ

Location: Bristol (20% onsite) Duration: 6 month contract Rate: £78ph LTD (Outside IR35) Role details: Our client, a leader in the defence and security sector, is seeking a Senior Machine Learning Engineer to join their team on a contract basis. This role involves developing and deploying advanced machine learning models essential for secure, high-integrity systems and services across critical defence, government, and public sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools Job Requirements: Proven experience developing and deploying machine learning models in production environments Experience with the OpenCV framework and object detection models, including YOLO, RCNN, and Vision models Proficiency in optical flow and object tracking for video analysis Solid knowledge of Optical Character Recognition (OCR) models and fine-tuning with custom datasets Understanding of accuracy measurement metrics like Character Error Rate (CER) and Word Error Rate (WER) Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Understanding of ML architectures, hyperparameter tuning, and performance optimisation Experience with MLOps tools and CI/CD pipelines Familiarity with data engineering concepts (ETL, data pipelines, SQL) Ability to analyse complex data and communicate insights effectively Strong problem-solving skills and attention to detail Excellent collaboration and stakeholder engagement skills Core Areas (Must Have): ML Development Expertise: Hands-on experience building and deploying ML models Lifecycle Ownership: Ability to manage ML workflows from design to production Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration Governance & Compliance: Familiarity with secure coding and quality assurance standards Collaboration & Mentoring: Ability to work across teams and support junior engineers Continuous Improvement: Commitment to learning and applying emerging ML techniques Desirable Skills: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes) Experience working in secure or regulated environments Exposure to big data technologies (Spark, Hadoop) and Apache tools Familiarity with Agile and DevOps practices Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty) Knowledge of NLP, computer vision, and deep learning architectures STEM degree or equivalent experience in AI, Data Science, or related fields If you are ready to take ownership of machine learning solutions that underpin secure, high-integrity systems and services, and lead in solving customer problems in an agile, innovative, and team-centric manner, we would love to hear from you. Apply now to join our client's Cyber & Security Solutions Division team in Bristol

Machine Learning Engineer (Python / MLE ). We are looking for a number of MLE / Machine Learning Engineers for a critical 6 month contract with a household name. Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment.

We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives. You'll work across the full ML lifecycle, c

Senior Machine Learning Engineer. As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analy

Senior Data & Machine Learning Engineer. Senior Data & Machine Learning Engineer. Solid data engineering background using.

Machine Learning Operations Engineer opportunity. This role lives between data engineering and machine learning. Previous experience in tuning and deploying machine learning methods.

As a Machine Learning Engineer you'll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. Machine Learning Engineer (PyTorch LLM) London onsite to £110k. Do you have experti

Senior Machine Learning Engineer. As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analy

Staff Machine Learning Engineer – | 3 Roles | UK Remote. A collaborative leadership style — mentoring engineers, shaping best practices. I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering te

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. Proven experience building and testing machine learning algorithms. Design, implement, and evaluate new machine learning algorithms, particularly

Machine Learning Research Engineer,. Experience in machine learning (research or applied). If you’re looking for a role where you can take responsibility, build from first principles, and apply machine learning to genuinely complex scientific problems, this could be your next move.

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

Machine Learning Engineer – Edge Deployment / Integration. This is applied ML engineering:.

This is a full-time, on-site role located in Bristol, United Kingdom for a Senior Machine Learning Engineer. Experience with tools and techniques relevant to machine learning and data analysis. Design, develop, and implement advanced machine learning algorithms and models, focusing on pattern recogn

You believe engineering isn't finished until it’s shipped and stable. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimoda

Senior Machine Learning Engineer. Senior Machine Learning Engineer.

Proven experience developing and deploying machine learning models in production environments. Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. TensorFlow Developer, AWS Machine Learning Specialty).

The successful applicants will be expected to develop novel algorithms by leveraging concepts such as machine learning, optimisation and mathematical modelling. Developing an automated system for detecting marine mammals at close range via deep learning. The ability to collaborate with engineers of

Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards. You’ll work on production‑grade machine learning and LLM‑enabled products, collaborating with a wide range of technical and non‑technical stakeholders to turn compl

Computer Vision, Machine Learning, Robotics, Mathematics, Physics, or similar). Senior Computer Vision / Applied ML Engineer. Senior Computer Vision / Applied ML Engineer.

As a Senior Machine Learning Engineer at Autodesk Research, you will work side‑by‑side with world‑class researchers and engineers to build new ML‑powered product features that help our customers imagine, design, and make a better world. By creating software tools for making buildings, machin

We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost; skilled in developing classification models and anomaly detection systems for production environments; capable of implementing comprehensive data lineage tracking and model governance systems. The Data Plat

We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team. You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments. In th

Lead Machine Learning Engineer – Data Science Team. We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. Develop a highly proficient team of Machine Learning Engin

This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning Models within Pricing. Senior Machine Learning Operations Engineer. Exciting new Senior Machine Learning Operations Engineer position for a fast growing

As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. Senior Machine Learning Engineer. Defining and implementing best practices and standards for deploying machine learning at scale across the business.

Machine Learning Engineer for a 12-24 month contract. Experience with machine learning frameworks (PyTorch, TensorFlow, or Scikit‑learn). Design, optimise and operate robust end‑to‑end machine learning pipelines within the Databricks environment on Azure.

We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Machine Learning Engineer II, Marketing Testing. Foundational knowledge in machine learning principles and statistical methods.

Ray, Spark, Dask)* Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations* Self-driven attitude with genuine curiosity about ML research developments* Comfortable working in fast-paced, agile environments, managing the uncertainty and

We're looking for a Machine Learning Engineer to shape and scale their pricing technology.

We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles. Background includes machine learning and AI implementation.

Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience. Mentor junior engineers and foster best practices in AI/ML development within the team. They are seeking a skilled and driven Senior AI/M

Machine Learning Engineer - Observability & Evaluation - £80,000 - £100,000 + Equity. As such they're now looking for a delivery-focused AI Engineer to join the team, specialising in monitoring and evaluating AI system performance in production environments. Collaborate with engineering and produc

We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc. Be a part of a collaborative research engineering team that takes research ideas and productionizes them. We are looking for research engineers to work on these exciting p

Applied Machine Learning Engineer. We are seeking an Applied Machine Learning Engineer who will help us invent and deliver these new methods and techniques. Cambridge, England, United Kingdom Machine Learning and AI.

Machine Learning / Applied AI Engineer. Develop and Train ML Models: Design lightweight but production-minded machine learning pipelines for classification, regression, or prediction use cases. Collaborate Across Disciplines: Work closely with data engineers and software developers to build scalable

Senior Machine Learning Engineer. We are hiring a Senior ML Engineer to design, develop and iterate machine learning models that underpin national security objectives. Design and develop machine learning models for traditional ML use cases and GenAI/LLM applications.