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Senior Software Engineer Gloucester, United Kingdom Reporting to: Practice Lead Company: Akkodis is a global leader in engineering, technology and R&D, harnessing connected data to drive digital transformation and innovation. With over 50,000 engineers and digital specialists across 30 countries, Akkodis supports organisations from concept through to full-scale deployment and optimisation across consulting, solutions, talent and academy services. Role: Akkodis is seeking a Senior Software Engineer to join the Engineering Methods & Tools team, supporting the Landing Systems Engineering organisation. This role focuses on designing and delivering robust, production-quality Python software that enhances engineering workflows. In addition to core software development, you will integrate AI and machine learning components into engineering tools, contributing to scalable, data-driven systems deployed in production environments. Key Responsibilities: • Lead software development activities and support engineering standards for scalable, maintainable codebases, • Design, build, test and maintain Python-based applications and services, • Integrate AI/ML components into engineering tooling in collaboration with data scientists and senior engineers, • Contribute to system and architecture design combining software engineering principles with AI capabilities, • Develop and maintain data processing workflows supporting software and AI-driven applications, • Deploy, monitor and support applications in production environments, • Collaborate with engineering stakeholders to define requirements and deliver practical solutions, • Identify opportunities to improve automation, efficiency and tool quality, • Produce clear documentation covering code, architecture and deployment processes Required Experience: • 3-8 years’ software engineering experience, ideally within engineering, industrial or scientific environments, • Strong hands-on experience developing production-ready applications in Python, • Exposure to AI/ML technologies or integration of data-driven components into software systems, • Experience deploying and supporting applications in production, • Familiarity with cloud platforms, preferably AWS, • Experience working with databases and structured or unstructured data Required Skills: • Strong proficiency in Python for application development (Java experience beneficial), • Solid understanding of software engineering best practices including testing, CI/CD, version control and maintainability, • Foundational understanding of AI/ML concepts such as data pipelines and model usage, • Experience with data analysis or statistical methods advantageous, • Strong communication skills and ability to work collaboratively within multidisciplinary teams Education: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related discipline This position offers the opportunity to take a technical leadership role in delivering scalable, AI-enhanced engineering tools within a complex engineering environment.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

Machine Learning Engineer 📍 Gloucester | 💰 Up to £60,000 + 10% Bonus + £7,000 DV Allowance A leading organisation operating within cyber, defence, and national security is seeking a Machine Learning Engineer to join a growing advanced analytics and AI capability. This is a hands-on engineering role building and deploying ML solutions in highly secure, data-rich environments, where work directly contributes to national-level outcomes. Why this role? This is an opportunity to work on real-world, high-impact machine learning systems where security, scale, and performance are critical. You’ll be: • Building and deploying machine learning models into production environments, • Working with large, complex datasets in secure infrastructures, • Supporting the development of AI-driven capabilities for mission-critical systems, • Collaborating with engineers, data scientists, and security specialists, • Contributing to the full ML lifecycle from data prep to deployment What you’ll be doing • Develop and implement machine learning models and pipelines, • Work with structured and unstructured data at scale, • Deploy models into secure production environments, • Support MLOps practices including CI/CD for ML systems, • Optimise models for performance, accuracy, and reliability, • Work closely with stakeholders to translate requirements into technical solutions What we’re looking for • Experience as a Machine Learning Engineer or Data Scientist with production ML exposure, • Strong understanding of ML algorithms, model development, and deployment, • Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn), • Familiarity with data pipelines and cloud or on-prem environments, • Understanding of MLOps principles, • Ability to work in secure or regulated environments Eligibility • Must be eligible for DV Security Clearance (5+ years UK residency required) Package • Up to £60,000 base salary, • 10% bonus, • £7,000 DV allowance, • Full benefits package + career development opportunities Additional info • Based in Gloucester (hybrid working available), • Work in a high-security, mission-critical environment, • Strong focus on training, development, and progression in AI/ML Contact

As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. Lead customer engagements and manage stakeholder relationships. Agile methodologies and team leadership.

Raytheon UK have a full time, permanent opportunity for a Software Engineer to join our team on our Manchester or Gloucester sites within a hybrid working pattern. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to hold SC and be eligible & willing to obtain eDV clearance. In this area of the business we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Responsibilities * Design and build software using industry best practice * Collaborate with stakeholders and other engineers * Contribute to the completion of milestones associated with your project * Contribute to continuous improvement within your team * Collaborate with your peers on technical direction within your team Required Skills and Experience * Full-stack experience across a selection of JavaScript frameworks (R...

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 defenc

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

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.

Due to exciting growth we are building a new machine Learning team. Data Scientist (Machine Learning). Microsoft Fabric Lakehouse and machine learning platform.

Data Scientist (Machine Learning) – Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working. Due to exciting growth we are building a new machine Learning team. Data Scientist (Machine Learning).

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.

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

Senior Machine Learning EngineerLocation: LondonWork model: Hybrid | 2 days on site Salary: Up to £110,000 + PackageSole British National Eligible for security clearanceWho youll be working with:Youll join a team of expert AI engineers delivering high-stakes, mission-critical AI solutions. As a Se

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating full

Machine Learning Engineer (Python TensorFlow SaaS) Cambridge to £90kDo you have experience of solving real-world problems via Machine Learning techniques?You could be progressing your career at a highly successful SaaS tech company that provides AI and ML products for automotive innovators to desig

Contract Machine Learning Engineer.

In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms. The Role – Head of Machine Learning. Good experience in M

SAP IBP Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSSWe are seeking a SAP IBP Demand Consultant to support the productionisation of a new external Python-based forecasting algorithm.

Location: LondonWork model: Hybrid| 3 days travel per week across the UK, with expenses fully coveredSalary: Up to £125,000 + PackageSole British National - Eligible for security clearanceWho youll be working with:As a Lead Machine Learning Engineer, youll drive the technical direction of complex A

Machine Learning/Deep Learning to join a cross-functional team. Hands-on professional experience in developing and deploying machine learning solutions, with a focus on deep learning. You'll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide

Applied Machine Learning Engineer, Developer Publications. London, England, United Kingdom Machine Learning and AI. Experience with Machine Learning, with a particular focus on Large Language Models (LLM) that generate code.

As a Machine Learning Implementation Engineer, you’ll be responsible for taking AI. Model Maturation & Delivery: Design, build, and refactor complex machine learning models, ensuring they move from experimental stages to high-quality, high-performance production software. Edge Optimization & Deplo

We are a technology-focused company applying modern machine-learning techniques to problems in molecular science and early-stage drug discovery. The team brings together experience in machine learning, software engineering, and the life sciences, and collaborates closely with internal scientific tea

You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. I

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.

You think in time series, signals, and regimes.You care about insight quality, not academic purity.You want your models tested by markets, not papers.If you dislike messy data and real-world constraints, this is not your role.You will build quantitative and ML-driven insight systems using structured

Build and deploy production‑grade software for machine learning and data‑driven solutions. Machine Learning Engineer, preferably with a consulting background. Familiarity with exposing machine learning components through web services or wrappers (e.

Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient a

Data Science, Machine Learning, Research and Development, Algorithms, Python, Stakeholder Engagement. Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data science and machine learning solutions to complex customer problems.

Graduate AI and Machine Learning Engineer. You'll also assist our team in the design and development of machine learning processes in a variety of client environments. Support the management of infrastructure and orchestration pipelines needed to automatically train and bring machine learning models

We are looking for an unrelenting Senior/Lead Engineer to bridge the gap between infrastructure, UX, and machine learning to ship these groundbreaking features to our global customer base. Deep knowledge of server-side architecture and Machine Learning.

Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows. The DUE ML Core London team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, impro

Machine Learning Engineer – Deliveroo Ads. In this role, you’ll enable high-quality machine decision-making to maximise ad relevance, performance, and revenue for our global partners. High standards, collaboration, flexible working and continuous learning.

Understand requirements from various stakeholders across the business, designing machine learning solutions to power features like real‑time feed personalisation or search relevance. Depop is looking for a dedicated Machine Learning Scientist to join our Ranking ML team in the UK. Research, design

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise

Define the long‑term technical strategy for high‑performance Machine Learning systems. Significant hands‑on experience optimising and debugging deep learning models. Deep understanding of at least one major deep learning framework (ideally PyTorch).

As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. You will work on complex, high-volume test suites across multiple platforms, ensuring that machine learning frameworks operate reliably and efficiently. Pro

Our AI-first platform is transforming how care is delivered, combining advanced machine learning with intuitive product design to make healthcare more personalised, efficient, and scalable.

Research, design and deliver machine learning solutions to improve our recommendations. Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems. Solid understanding of machine learning concepts, familiarity working with common fra

Deep expertise in data science, machine learning, finance, and/or Python-based software development. This role is a part-time Machine Learning Engineer position, offering $50–$100/hour for 30+ hours/week, primarily weekdays. Requirements include an active or recently graduated PhD, expertise in da

As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure, tools, and services that enable businesses to build and deploy reinforcement learning models efficiently and effectively. Integrate existing machine learning frameworks and librar

As a Senior Machine Learning Engineer, you’ll focus on designing and implementing reusable ML templates, deployment patterns, and MLOps tooling that support scalable, reliable, and secure ML solutions across the organisation. Professional experience as a Machine Learning Engineer, ideally with exp

We're hiring Machine Learning Researchers for our quantitative modelling team. You will design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. A strong mathematical understanding of the fundamentals of Machine Learning and co

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech

Senior Machine Learning Engineer (Level 2/3). Senior Machine Learning Engineer (Level 2/3).