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Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics, • Own the ML lifecycle from data preparation through 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 Your skillset may include: • 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 If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

What you will do as a Senior ML Engineer • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics., • Own the ML lifecycle from data preparation through 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. What you’ll bring • Proven experience developing and deploying machine learning models in production environments., • Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with a clear understanding of when to apply each model., • Proficiency with object detection concepts. Experience in video analysis, particularly optical flow and object tracking., • Solid knowledge of Optical Character Recognition (OCR) models, with the ability to fine-tune these models using custom datasets., • An understanding of how to measure the accuracy of text extractions through metrics like Character Error Rate (CER) and Word Error Rate (WER) is also crucial., • Strong 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:, • Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes)., • Exposure to big data technologies (Spark, Hadoop) and Apache tools., • Knowledge of NLP, computer vision, and deep learning architectures., • Familiarity with Agile and DevOps practices., • STEM degree or equivalent experience in AI, Data Science, or related fields., • Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty)., • Experience working in secure or regulated environments. SC clearance is manadaorty for this role

Wanted: Full Stack Engineer £45,000 - £55,000 (depending on experience) plus excellent benefits* Start date: ASAP Demand for Cervus’ products and services continues to grow across the Defence sector. We are looking for a motivated, curious, and technically minded Full Stack Engineer to help us scale our 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 Cervus’ 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, 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, 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., • Rapidly prototype new features and tools, applying practical technical insight to test ideas and shape future products. We expect you to have: • Bachelor’s or master’s degree in computer science, engineering, or a related field preferred - or equivalent practical experience gained on the job instead., • 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)., • Experience of working as part of a team to deliver software products., • 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. Working location: This role will be primarily based at either our Bristol or Westbury offices for approximately 1 • 2 days per week. It operates within a flexible hybrid working model, with the option for regular home working. The role will also involve travel within the UK and overseas. Why join Cervus? Cervus is a performance analytics and technology company helping defence and security organisations make better decisions, faster. Based in the southwest UK with offices in Bristol and Westbury, we value hybrid working, curiosity, collaboration, and continuous improvement. Joining us means contributing to meaningful, high-impact projects, working with talented colleagues, and helping shape the future of data-driven capability development. This role typically involves 1 –2 days per week in the office and travel within the UK and overseas. How to apply We’re committed to fostering an inclusive workplace where everyone can thrive. We welcome applications from candidates with disabilities and will provide reasonable adjustments during the recruitment process and in the workplace. If you have questions about the role or require any adjustments, please contact . Interviews will take place from March 2026.

Data Engineer | On Prem | Bristol (Hybrid) We’re supporting a leading engineering organisation working on cutting-edge AI and data platforms, and they’re looking for a Data Engineer to join their growing team. This role sits within a GenAI-focused function, working on the design, build and optimisation of data pipelines and datasets used across the business. It’s a great opportunity to work on genuinely interesting problems in a secure, highly technical environment. What you’ll be doing: • Designing and building robust, secure data pipelines in an on-prem environment, • Working closely with internal teams to understand and optimise their data requirements, • Improving data quality, governance and overall architecture, • Supporting the development of datasets used in AI and machine learning applications, • Contributing to technical direction and exploring new tools and technologies What they’re looking for: • Strong experience with SQL databases such as MS SQL or Oracle, • Experience with NoSQL technologies like MongoDB or Neo4j, • Solid background in ETL, data processing and integration, • Python development experience, • Experience working in on-prem or hybrid environments (not purely cloud-based), • Understanding of big data technologies such as Hadoop is beneficial Nice to have: • Exposure to NLP, OCR or Generative AI, • Experience with containerisation tools like Docker, • Background in engineering, industrial or defence environments Location: Bristol (2–3 days onsite) Salary: Competitive + bonus + strong benefits This is a great role for someone who enjoys working on complex data problems in a highly secure, engineering-led environment, particularly if you prefer on-prem systems over cloud-first setups.

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

SeeByte, the global leader in developing smart software solutions for uncrewed maritime systems, are looking for several Student Research Engineers to join their team in their Bristol office. As part of a world renowned, expert engineering team, you will be working with state-of-the-art software systems for the management of uncrewed systems software. This is a fantastic opportunity to work for an innovative and forward-thinking company with an international client base. What will you be working on: You will be working on developing a prototype that addresses a real-world problem found in the maritime domain. This will start with an investigate phase where you will be conducting research into the problem, identify relevant technologies and propose a solution. Whilst developing the prototype, you will have the opportunity to present findings and gain feedback from industry experts. The successful applicants will be expected to develop novel algorithms by leveraging concepts such as machine learning, optimisation and mathematical modelling. They will also be using Python and common libraries (e.g. NumPy, Tensorflow, SciPy) to develop their prototype. Problems you could be working on: • Enhancing sonar operator training using data-driven techniques, • Investigating the use of ML (e.g. generative models, differentiable rendering) to replicate a real sonar system by augmenting a sonar simulator, • Digital assistant for data analysis, • Developing a tool to make data analysis techniques accessible through natural language processing and semantic search, • Smart decision-making aid to assist with acoustic marine mammal tracking, • Leveraging optimisation algorithms and data-driven simulations to identify optimal configurations for acoustic monitoring arrays, • Short range marine mammal warning system for marine vessels, • Developing an automated system for detecting marine mammals at close range via deep learning Experience in the following areas are desirable: • Keen interest in technologies for algorithm development, • Machine Learning/AI, • Mathematical Optimisation, • Reinforcement Learning, • Experience in developing applications in Python, • Practical use of common Python libraries for data analysis or ML (e.g. NumPy, Tensorflow, SciPy, Scikit-Learn) What you will gain whilst working at SeeByte: • Experience in applying technologies (e.g. neural networks, probabilistic models, constraint programming) to solve real world problems., • Sharpened intuition in identifying and working towards personal and company objectives., • The ability to collaborate with engineers of various backgrounds, communicating ideas and integrating within the organisational structure., • Experience in applying engineering processes to analyse problems, evaluate solutions and delivering excellence., • Gaining valuable experience working in a commercial software company providing state-of-the-art solutions worldwide Benefits include: • Dedicated supervisor to mentor and to assist throughout the internship, • 3 days in office/2 home working policy, • Clear development, training and mentoring opportunities, • Learn software engineering skills from world experts in the field of maritime robotics, command and control and sensor processing. To apply please send an up to date copy of your CV and a cover letter to At SeeByte we are committed to creating an inclusive and accessible workplace and are committed to employee wellbeing. If you have any accessibility requirements or adjustments to support you through the recruitment process, please do let us know. This job is broadly open to the following: • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the ___, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020, • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service As part of this process, SeeByte collects Personal Data as defined under UK GDPR including proof of identity, nationality and immigration status, right to work in the UK, employment and/or academic references and Basic Disclosure information for unspent criminal convictions. Please see details pertaining to your personal data in our Privacy Notice which can be found at ___ NO RECRUITMENT AGENCIES PLEASE

Company Description SoftInWay UK Ltd. is an engineering solutions company recognized for its innovative software, engineering services, and educational offerings. The company is dedicated to providing cutting-edge solutions that advance the development and optimization of engineering designs, catering to a variety of industries. With a strong commitment to innovation and collaboration, SoftInWay fosters an environment for professionals to thrive and contribute to groundbreaking projects. Role Description This is a full-time, on-site role located in Bristol, United Kingdom for a Senior Machine Learning Engineer. The selected candidate will be responsible for: • Architecting the ML Solver Platform:, • Define modular architecture for data preprocessing, model execution, and post-processing., • Establish clear API contracts between Python/TensorFlow and C# services., • Design, develop, and implement advanced machine learning algorithms and models, focusing on pattern recognition and neural network applications, • Productionizing ML Workflows:, • Convert research code into robust, testable, and observable services., • Implement CI/CD pipelines, automated testing, and reproducibility standards., • Integration & Interoperability:, • Design REST/gRPC endpoints for cross-language communication., • Ensure compatibility with C#/.NET services., • Performance & Scalability:, • Optimize GPU/CPU utilization, batching strategies, and memory management., • Plan for multi-model and multi-tenant scenarios., • MLOps & Lifecycle Management:, • Implement model versioning, artifact registries, and deployment workflows., • Set up monitoring, logging, and alerting for solver performance., • Security & Compliance:, • Apply best practices for secrets management, dependency scanning, and secure artifact storage. Additional responsibilities include analyzing large datasets, developing and improving algorithms, and collaborating with cross-functional teams to address engineering challenges and deliver optimized solutions. Required Skills & Experience • ML Frameworks: Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference., • Programming: Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling., • Architecture: Proven experience designing scalable ML systems for production., • APIs: Proficiency in gRPC/Protobuf and REST for cross-language integration., • MLOps: CI/CD pipelines, containerization (Docker/Kubernetes), model registries, reproducibility., • Performance Optimization: GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling., • Observability: Metrics, tracing, structured logging, dashboards., • Security: SBOM, image signing, role-based access, vulnerability scanning. Qualifications • Expertise in Pattern Recognition and Neural Networks, • Strong foundation in Computer Science and proficiency in developing scalable solutions, • In-depth knowledge of Statistics and advanced Algorithms, • Experience with tools and techniques relevant to machine learning and data analysis, • Master's or PhD in Computer Science, Data Science, Engineering, or a related field, • Problem-solving skills and the ability to collaborate with interdisciplinary teams, • Prior experience in the engineering, manufacturing, or industrial sector is a plus

Staff Machine Learning Engineer – | 3 Roles | UK Remote 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 team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Are you looking for your next high-impact AI contract where you can hit the ground running and deliver real value from day one? 📍 Manchester / Remote (UK-based) 💼 Contract (Outside IR35) ⏳ Initial 6 months (extension likely) We're working with a well-funded, fast scaling, technology led organisation investing heavily in AI, machine learning and data platforms. We’re looking for a stong AI Engineer to join on a contract basis who enjoy building real-world AI applications. As an AI Engineer you will be: 🔧 Designing and building AI/ML solutions end-to-end 📊 Working with APIs, data sources, and cloud platforms 👥 Collaborating with product, data, and engineering teams 🔍 Experimenting with and implementing modern AI frameworks and tools 🧠 Helping improve performance, scalability, and reliability We’re open to a range of backgrounds, but typically the successful AI Engineer will have: ✔️ Experience as an AI Engineer, ML Engineer, or Data Engineer ✔️ Strong programming skills (Python) ✔️ Experience with LLMs or modern AI tools (e.g. APIs, LangChain, vector databases) ✔️ Understanding of data pipelines and working with datasets ✔️ Familiarity with cloud platforms (AWS, Azure, or GCP) If you match all of the above apply immediately or email 😊

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics, • Own the ML lifecycle from data preparation through 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 Your skillset may include: • 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 If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

Senior Machine Learning Engineer. Senior Machine Learning Engineer.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

ROLE: Machine Learning Developer HOURS: Full-time LOCATION: Bristol (hybrid) At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We’re looking for a Machine Learning Developer to join our Insight function within the Data & AI team, helping to design, build and deploy intelligent, data‑driven solutions that improve operational efficiency and support better organisational decision-making. 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 complex requirements into scalable, real‑world solutions. Role Responsibilities: • Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards., • Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling., • Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight., • Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms., • Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs., • Communicate complex technical concepts clearly to both technical and non-technical audiences., • Ensure high standards of code quality, documentation and maintainability across all solutions. Required Qualifications: • A STEM degree or equivalent experience, with a strong mathematical, analytical or software-focused background., • Proven experience using Python, SQL and SparkSQL in data or ML-focused roles., • Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‑learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas., • Knowledge of natural language processing techniques and API integration patterns for ML services., • Experience delivering projects end-to-end, from initial concept through to production deployment., • Ability to manage competing priorities, work independently and collaborate effectively with stakeholders. Desirable Skills: • Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms., • Exposure to MLOps practices, lifecycle management and large-scale or distributed compute environments., • Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise.

This is a full-time role (Monday to Thursday), reporting to the Lead Software Engineer, and encompasses a range of software engineering and machine-learning skills. As a Software Engineer (Backend) at digiLab, you will be responsible for:. From forging a path to clean energy to life-saving medical d

A progressive technology group in the UK is seeking a Senior Machine Learning Engineer to enhance AI adoption across its engineering teams.This role involves leading AI-assisted development projects, configuring AI tools, and fostering a collaborative environment.Candidates should have over 5 years

Graduate Software Engineer - ML Kernels & Runtime Team. We are looking for a Graduate Software Engineer to join a team pioneering the development of high-performance machine learning (ML) kernels for a new generation of AI hardware. A melting pot of AI research specialists, silicon designers, softwa

As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. Senior Machine Learning Engineer • 6 month contract • Based in Bristol • Offering circa £75ph Outside IR35. Design, build, and optim

A market-leading technology consultancy in Bristol is seeking a Senior Machine Learning Engineer for a 6-month contract.The role involves designing, building, and optimising ML models, owning the ML lifecycle, and implementing MLOps workflows.Candidates should have hands-on experience with machine l

A leading AI hardware company in Bristol is seeking a Software Engineer to join their Triton team.The role involves designing and implementing software features for their machine learning accelerators, collaborating within a SCRUM team, and maintaining high code quality.This position offers a chance

A leading AI technology firm in Bristol is looking for a Software Engineer to join their PyTorch team. The successful candidate will design, implement, and optimize software for machine learning accelerators, ensuring high-quality support in frameworks like PyTorch.

A leading tech firm in AI is seeking a 2026 Graduate Software Engineer specializing in PyTorch in Bristol. This role will involve optimizing and maintaining software for machine learning accelerators, collaborating within an agile team, and participating in open-source efforts.

As a Graduate Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. A melting pot of AI research specialists, silicon designers, software engineers and systems archite

A technology consulting firm is seeking a Senior Machine Learning Engineer to take ownership of machine learning solutions that support secure and high-integrity systems.You will lead the design and development of advanced ML models while collaborating with engineering, DevOps, and delivery teams.Th

A leading AI hardware company in Bristol is seeking a Graduate Software Engineer to join their Triton team. The role involves designing, implementing, and optimising software for machine learning frameworks like PyTorch and Triton. The position offers competitive benefits including flexible working

Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these is yes, then this could be the role for you! As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through 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 Your skillset may include: 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 If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further! Senior Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries. Were proud to play a part in protecting the worlds democracies. And were committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the worlds aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career. Job Summary Its great to know youre making a difference to the future of aviation! Whatever part you play youll be helping us deliver operational excellence to our customers. At our Filton site in Bristol, we specialise in the design and manufacture of large complex structural wing assemblies, detailed metallic componentsand wing systems for a combination of both civil and military aircraft. Our new Multi-skilled Maintenance Engineer will join a friendly team who work effectively and efficiently on Process plant and machine tool breakdown and repairs, and knowledge and experience working on electrical and electronics systems. You will handle the planned scheduled maintenance and all associated tasks on both conventional and CNC machine tools and plant. This is a full-time, permanent position working 07:00am - 17:30pm on the following shift pattern (which includes 25% shift premium: Week 1: Monday, Tuesday, Friday, Saturday, Sunday Week 2: Wednesday, Thursday Week 3: Monday, Tuesday, Wednesday, Thursday How You'll Contribute In this role, you will: Maintain and diagnose faults on: Machine Tools/Plant: Production process plant & machinery Hydraulic and pneumatic systems including counter balance circuits, hydraulic clamping, hydraulic motors, rams, cylinders Machine alignments: Checking and correction of machine alignments Correction by changing parameters in CNC control, testing with machine cuts/machine cycles Plant: Chemical treatment and paint facilities, coolant systems, presses, ovens, pipe benders etc Electrical appreciation: Knowledge of process plant & machine tools as well as PLC programming & diagnostics In addition to: General Fabrication and machining Cleaning, driving, rigging, slinging & assisting with out of trade activity Work with sub contractors when required Demonstrate improvements to plant reliability and availability Inputting of job records using electronic data collection (CONCEPT) Job Qualifications To help us make a difference, youll bring your passion and expertise/ talent for what you do along with the following skills, experience, qualifications and attributes: Essential: A technician level qualification (HNC/ONC or City & Guilds Part 3) and post apprenticeship experience in the maintenance of process plant & machine tools Experience working effectively and efficiently on process plant and machine tool breakdown and repairs Experience working with CNC machinery, particularly 4, 5 & 7 axis machinery In addition to: Knowledge and experience working on electrical and electronics systems. Understanding of Export Control and regulatory requirements Self-motivated, working without direct supervision Physically able to bend in and out of machines Two way communication Customer-focussed Team Working Drive & Commitment What We'll Offer Once youre on board youll get the following perks and benefits: A Competitive salary + 25% Shift Allowance Industry Leading Pension Scheme = well match your contributions up to 8% on a 1 : 1.5 basis (GKN Contribution up to 12%) Life Assurance 8 x salary 25 days holiday + bank holidays Income protection Shopping discounts Cycle To Work Scheme Employee Assistance Programme Virtual GP Clinic for you and immediate family A collaborative, dynamic working environment As well as a competitive package well offer you a world of opportunity. We want to see your career fly! Well support your career progression by providing you with learning and development opportunities. Thats the beauty of being part of a global business, once youre on board you never know where you career journey may take you! Well offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go? TPBN1_UKTJ

Bristol As an Algorithms Engineer, you will have the opportunity to work on advanced technologies and create solutions in the field of Radio Frequency (RF) Seekers! Salary: Circa £45,000 to £58,000 depending on experience Dynamic (hybrid) working: Typically 4 days per week on-site, due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: Maximum total (employer and employee) contribution of up to 14% Overtime: Opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: Offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: We have a number of exciting opportunities for various levels of experienced Systems Engineers to join our growing Radio Frequency (RF) Seekers team. You'll be performing activities including algorithm development and systems studies. This is an exceptional chance to be part of multiple Seeker programmes, including STRATUS - LO and Brimstone, and contribute to the development of Active Electronically Scanned Arrays (AESA) and highly integrated multi-mode sensors. What makes this opportunity truly unique is the scope it offers for innovation and technical growth. You will have the chance to get involved in a variety of systems tasks, driving the technical scope of the programmes. As part of our specialist and diverse team, you will have many opportunities to develop your skills, and be fully supported in doing so. We are looking for individuals who are passionate about the industry and technology, and we are committed to helping you build a successful career while working with incredible technologies and products. As part of the role, you will be involved in a number of activities including many of the following: Develop algorithms and ensure they are fit for purpose Conduct studies to identify any enhancements and propose future improvements Collaborate with individuals from various areas of expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products What we're looking for from you: Essential experience: Algorithm development MATLAB Experience Identification, Planning and Running of investigations to inform systems design Data analysis Desirable experience, but not essential: Modelling and coding (Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more... We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-SF1

Bristol An exciting role for a Systems Engineer to be involved in a variety of projects developing ground breaking technologies through the use of Modelling & Simulation. With opportunities to support field trials and work with a dedicated team of Engineers to help your own career development this role is one not to be missed! Salary: From £ 40,000 to £58,000 depending on experience Dynamic (hybrid) working: 3-5 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more... Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: We are looking for Systems Engineers to join a growing team to perform activities including modelling, algorithm development and systems studies. Our work covers simulation and modelling of the entire Seeker chain from radar propagation, to hardware response, to the embedded software algorithms on-board the Seeker. These algorithms are developed in, and auto-coded directly from our models, allowing us to rapidly test, iterate, and deliver sophisticated defence capability. There are roles available across multiple Seeker programmes, from those in the early concepting phase (including developing groundbreaking technologies like Active Electronically Scanned Arrays (AESAs) and highly integrated multi-mode sensors), through assessment and development phases (such as Future Cruise Anti-Ship Weapon FC/ASW) and, supporting spiral development on our in-service phase Seekers. You may have the opportunity to get involved in a variety of other activities within our department including support to field trials and lab testing. There are numerous progression and development opportunities available, as well as interaction with stakeholders across a dynamic multi-national engineering team. We are also looking for more experienced engineers wishing to develop their leadership skills across teams and work packages. What we're looking for from you: Degree level qualification in a STEM subject or equivalent experience Modelling and Coding with proficiency in MATLAB Algorithm Development Data Analysis and Technical Report WritingDesirable experience: Advanced MATLAB Proficiency in Simulink including Embedded Coder Formal software or firmware development experience, especially C and HDL Knowledge of RF systems and digital signal processing Model verification, configuration control and model release processes Continuous Integration and Testing Machine Learning and AIYou will be an adaptable and proactive individual who enjoys finding innovative solutions to complex engineering problems. Most importantly, if you have a passion for the industry and technology, then we want to see you! Our department is an encouraging community, in which you can develop your skills, gain experience and progress your career, giving you exposure to some incredible technologies and products. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more... We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information. #LI-SF1

Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries. Were proud to play a part in protecting the worlds democracies. And were committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees across 33 manufacturing sites in 12 countries we serve over 90% of the worlds aircraft and engine manufacturers and achieved sales of £3.35 bn.in 2023. There are no limits to where you can take your career. Job Summary Its great to know youre making a difference to the future of aviation! Whatever part you play youll be helping us deliver operational excellence to our customers. At our GKN Filton site, we specialise in the design and manufacture of large complex structural wing assemblies, detailed metallic componentsand wing systems for a combination of both civil and military aircraft. Our new Maintenance Engineer will join a small & friendly team working effectively and efficiently on breakdown and repairs. The team handle the planned scheduled maintenance and all associated tasks on both conventional and CNC machine tools and plant. This is a permanent role. The successful applicant will work night shifts (7pm-7am) on a 17 week rota as below: 17 weeks of Wednesday - Friday & every other Saturday 17 weeks of Sunday - Tuesday & every other Saturday (3 on - 4 off, 4 on - 3 off) The night shift has an additional 38% shift allowance for the first 35 hours, and 58% for anything extra paid in addition to the basic salary. How You'll Contribute In this role, you will maintain and diagnose faults on: Machine tool/plant including: Machine tool axes including linear guides / rails, motors, gearboxes, lead screws, bearings Machine guarding both internally and externally Hydraulic and pneumatic systems including counter balance circuits, hydraulic clamping, hydraulic motors, rams, cylinders checking and topping up various oils, fault finding & diagnostics on complex Machine tools/plant as well as diagnosing faults on rails, gearboxes etc Machine alignments by: Checking and correction of machine alignments, by clocking bars, datum holes and slip gauges, laser alignments, ball bar tests Correction by changing parameters in CNC. control, testing with machine cuts/machine cycles Plant: Maintaining mainly associated plant such as CNC milling machines as well as CNC lathes, CNC Gear cutters, Jig Borers, Robots, Swarf conveyors, coolant systems, etc. You will also have some electrical appreciation, including: Knowledge of machine tools electrically Knowledge of machine parameters and diagnostics Ability to run calibration programmes How to disconnect pumps & motors How to reset trip & fuses What You'll Bring To help us make a difference, youll bring your passion and expertise/ talent for what you do along with the following skills, experience, qualifications and attributes: Essential: A demonstratable background in maintaining 4/5 axis CNC milling machines Previous experience in cross functional team working Ability to understand engineering drawings Desirable: Experience in a similar maintenance lead role Previous experience working night shifts IOSH/NEBOSH qualifications Leadership skills What We'll Offer Once youre on board youll get the following perks and benefits: ? Competitive salary of circa £40,000 (Dependent on experience) + 38% - 58% shift allowance (Total salary circa £55,000) ? Industry Leading Pension Scheme = well match your contributions up to 8% on a 1 : 1.5 basis ? Life Assurance 8 x salary ? 175 hours annual leave + bank holidays ? Income protection ? Shopping discounts ? Cycle To Work Scheme ? Employee Assistance Programme ? Virtual GP Clinic for you and immediate family ? A collaborative, dynamic working environment with significant opportunity to upskill As well as a competitive package well offer you a world of opportunity. We want to see your career fly! Well support your career progression by providing you with learning and development opportunities. Thats the beauty of being part of a global business, once youre on board you never know where you career journey may take you! Well offer you fantastic challenges and amazing opportunities. This is your chance to be part of an organisation that has proven itself to be at the cutting edge of our industry; and is committed to pushing the boundaries even further. And with some of the best training on offer in the industry, who knows how far you can go? TPBN1_UKTJ

Senior Software Engineer Rate: £450 a day IR 35 Determination: Outside IR35 Location: Bristol Working Pattern: 20% onsite Clearance: SC Clearance required Stack overview: Python (including pytest), git, Docker and AWS with prior experience building full stack Flask You will join a global defence technology consultancy and take ownership of specific software work packages, including low level planning, delivery, and reporting, with ability to work independently and autonomously. You will have strong understanding of microservice software architecture, and design, implement, document and test software modules and components. What you'll bring Strong technical ability with proven experience delivering software components and modules. Ability to work confidently, strategically and autonomously Ability to balance hands-on coding with document writing and planning session participation Your skills and experience: 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: Experience or knowledge 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)

Senior FPGA Engineer – Circa £90k – Bristol Hexwired Recruitment is recruiting for an expanding Electronics manufacturer based in Bristol now seeking a senior FPGA Engineer to help deliver key projects for clients across a range of applications. You will be working as part of an experienced team to develop a range of bespoke products. The company are expanding to meet the demands of their clients and are seeking an FPGA Engineer ideally with previous experience in VHDL and hands on Xilinx experience. As the company is beginning a number of projects from scratch, you will get the chance to see a number of products from design to manufacture. This is a FPGA job focusing primarily on VHDL programming for either Xilinx or Altera FPGA’s. as well as working on high speed and low latency applications. Key Skills: • Degree in Embedded Systems, Electronics, Maths or similar, • 5+ years commercial FPGA design experience, • Good commercial VHDL experience, • Commercial Xilinx or Altera experience, • Experience working with RF or SDR products, • DSP experience or similar The company are looking to offer circa £90K along with an excellent benefits package, including relocation assistance. If you’re interested in this senior FPGA Design engineer job in Bristol, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

Use your FPGA skills for ultraprecise optical fibre sensing DSP With applications in industry and national infrastructure protection, this Bristol-based company's technology can turn legacy fibre-optics into high precision long distance sensors. As their business continues to grow, they are seeking a highly experienced FPGA Engineering Lead to join their team. This fully on-site role combines hands-on FPGA design with team leadership and ownership of the development process, mentoring of less experienced colleagues, and a substantial influence over future product architecture. You'll be working closely with colleagues from the Machine Learning and RF teams. Your technology focus will be highly optimised FPGA designs for digitally transforming raw optical signals to inputs suitable for machine learning algorithms. You will be working with technologies such as RFSoCs and SDRs with FPGAs from AMD/Xilinx, and will need excellent design skills, hands-on lab skills, and fluency in VHDL. You will need: • A good degree in electronics or a similarly applicable subject from a well-regarded university and strong grades at A-level (or equivalent), • Very substantial Xilinx RFSoC and/or software defined radio (SDR) systems experience, • Solid understanding of DSP techniques and their mathematical underpinnings, • Fluency in VHDL, and good knowledge of designing with Xilinx/AMD; hands-on electronics lab skills, • Full existing right to work in the UK without time limit or sponsorship, • As applications involve defence and government work, you must be eligible for a UK SC security clearance Based in pleasant offices on the outskirts of Bristol, this would be a good opportunity for a skilled engineer looking to progress further into team and technical leadership whilst staying hands-on with world-leading technology. A highly competitive salary is on offer to the successful candidate. Keywords: Team Lead, RFSoC, SDR, Software Defined Radio, Xilinx, AMD, DSP, hands-on engineering, Bristol Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27599) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

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