69 jobs found

Join Our Client as an SC Cleared DSR Chief Software Engineer & Team Leader Location: Milton Keynes typically 2 days per week with some travel to London Salary: 88,000 and 95,000 + discretionary bonuses Must be willing and eligible to go through the SC Clearance process Are you a seasoned software engineering professional with a passion for leading innovative solutions in the public sector? Our client, a reputable organisation supporting UK Government departments, is seeking a proactive and strategic Chief Software & Systems Engineer to oversee critical digital record and sensitivity review programmes. What you'll be doing: Leading the delivery and evolution of Digital Records & Archive Management (DRAM) and Digital Sensitivity Review (DSR) systems. Managing and maintaining system architecture, ensuring security, compliance, and operational integrity. Overseeing a talented team of Software and Secure Cloud Engineers, fostering efficiency and continuous improvement. Collaborating with project teams, partners, and stakeholders to deliver secure, robust, and user-friendly solutions. Developing strategies, policies, and procedures aligned with government security standards. Supporting multiple projects, managing budgets, and ensuring timely delivery. Ensuring systems meet legislative and security requirements. What you'll bring: Extensive knowledge of software engineering principles, especially within secure, on-premise, and cloud environments. Proven leadership skills to manage and motivate technical teams. Strong project management capabilities across multiple initiatives. Excellent problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using tools such as Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward-thinking organisation committed to innovation, security, and public service excellence. We look forward to hearing from you!

Software Engineer Hampshire / Hybrid - 2 days per week onsite 60,000 - 65,000 per annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems, with opportunities to expand into sensors and robotics. This is a collaborative role requiring strong technical expertise and effective communication across teams. What You'll Bring Degree in a STEM subject or equivalent experience Experience with some of the following: Languages: Python, Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux scripting Proactive mindset, strong problem-solving skills, and ability to work independently or in teams Key Responsibilities Deliver software with product owners and engineering teams Contribute to Agile processes (Scrum, Kanban, SAFe) Ensure quality through testing and code reviews Support and troubleshoot live systems If this Software Engineer role is of interest, apply now or email me at (url removed)

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.

Control Systems Engineer Skelmersdale (hybrid) Monday to Friday (flexible working hours) 50,000 to 55,000 + bonus, pension, private healthcare and other benefits Fantastic opportunity to join a business at the forefront of manufacturing technology as a Control Systems Engineer. Join a growing team with plenty of opportunity to progess. You'll be working on complex and engaging automation projects for manufacturing in the aerospace, automative, architectural and other sectors. Responsibilities Create and enhance process control systems from concept through to implementation. PLC programming, SCADA development and advanced control techniques from PID loops to AI and machine learning. Develop and implement inspection systems and instruments to maintain top-tier product and process quality. Partner with R&D and production teams to identify and deliver process improvements safely and effectively. Provide technical support, while upgrading and maintaining existing systems. Be open to occasional overseas travel. Skills Degree in electrical engineering, electronics & automation or a related field Solid knowledge of Control Systems Design, Programming, Troubleeshooting and Commissioning Ability to program systems from scratch is desireable Able to work independently and as part of a team Comfort working closely with customers If you're a Control Systems Engineer who wants to look at a new opportunity, hit apply and we can discuss this and other opportunities we are recruiting for which would offer you the next best step in your career. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior AI Engineer - GCP / Machine Learning / AI Agents £75k - £80k + Bonus - Permanent Remote UK - Flexible remote working model - Occasional travel to the South East / South London region Must be Eligible to work in the UK - Cannot Provide Sponsorship We re currently supporting a large consumer-focused organisation undergoing significant investment across AI, Machine Learning & Cloud Engineering capability. As part of this growth, we re looking to identify experienced Senior AI Engineers to help shape and deliver scalable AI-enabled solutions across the organisation. This role would suit someone with a strong Software Engineering background who has evolved into AI / Machine Learning Engineering and is comfortable operating across both hands-on technical delivery and stakeholder engagement. Key Responsibilities: Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Support the technical direction of AI Engineering initiatives Mentor and support other AI Engineers within the wider team Collaborate closely with Digital Products, AI & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Contribute toward architecture, experimentation and proof-of-concept initiatives Required Experience: Strong Software Engineering background (Python preferred) Commercial AI / Machine Learning Engineering experience Hands-on Google Cloud Platform (GCP) experience Experience deploying ML / AI solutions into production environments Understanding of modern AI frameworks & LLM ecosystems Exposure to AI Agents, Agentic AI workflows and/or Google ADK highly desirable Strong stakeholder engagement and communication capability Previous mentoring or technical leadership experience advantageous Desirable Technologies GCP / Vertex AI Gemini Python AI Agents / ADK Machine Learning Frameworks APIs & Microservices Docker / Kubernetes CI/CD pipelines LLM Orchestration Frameworks Additional Information Bonus potential up to c.15% Opportunity to join a growing AI capability within a large-scale Enterprise environment Excellent long-term progression potential as the AI function expands . T6/MN/(phone number removed).

Head of AI & Automation Hybrid: 1-2 days per week in the office (North West) Permanent Paying up to 100k + bonus + bens Experis are partnering with a large, well-established organisation as they continue to accelerate their digital and operational transformation agenda. We are supporting them in the search for an experienced AI and Automation Lead to own and deliver a multi-year strategy focused on leveraging artificial intelligence and automation across their operations. This is a high-impact leadership role, responsible for shaping AI adoption across support centre and knowledge worker environments, with a focus on improving productivity, reducing cost, and enhancing customer experience. What You'll Be Doing Defining and owning the organisation's AI and automation strategy, aligned to wider digital transformation goals Identifying, prioritising, and delivering high-value AI use cases across operations and support functions Leading the end-to-end delivery of AI solutions from proof of concept through to production Building, scaling, and developing a small in-house AI engineering capability Driving adoption of AI solutions (e.g. chatbots, intelligent document processing, workflow automation, predictive analytics) into day-to-day business processes Acting as a trusted advisor to senior stakeholders, translating AI opportunities into tangible business outcomes Managing third-party vendors and delivery partners, ensuring quality, value, and alignment to outcomes Establishing AI governance frameworks, covering data ethics, model performance, and responsible AI usage Defining and tracking ROI and success metrics across AI initiatives Leading training and change initiatives to embed AI across the workforce Experience Required Proven experience leading AI, machine learning, or intelligent automation initiatives in a mid-to-large organisation Strong hands-on knowledge of generative AI (LLMs, RAG architectures) and/or agentic AI frameworks Experience building or scaling AI / data science teams Track record of delivering AI solutions into production environments, not just proof of concept Experience working with cloud platforms (Azure, AWS or GCP) Exposure to vendor-led delivery models and partner ecosystems Strong understanding of data governance, AI ethics, and responsible AI principles Experience in customer operations / contact centre environments would be highly advantageous Excellent stakeholder management skills, with the ability to influence at senior level and communicate complex ideas clearly If you'd like to learn more, please contact Jacob Ferdinand at

Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function

Award-winning and bold innovation. Modern Tech-Stack. Impacting the future. Technical Lead - Artificial Intelligence £70,000 - £77,000 plus benefits Reports to: Head of Engineering Grade: P3 (MP) Directorate : Chief Operating Office Contract : 2 year fixed-term contract Hours: Full time 35 hours per week Location: Stratford, London , high flexibility. We know great work doesn't happen in just one place or one way. This role is designed to be highly flexible, with the opportunity to work largely remotely, alongside occasional time in our offices for collaboration when it adds the most value. Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. Closing date: 31 May 2026, 23:55. Note we are shortlisting on an ongoing basis - please do not delay applying for the role. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the application questions and work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: 3 stage interview process consisting of a screening call, role-based competency interview and technical task. At Cancer Research UK, we exist to beat cancer. At Cancer Research UK, we are a community of professionals with purpose. Every day, we push boundaries to beat cancer-yet we know we must go. Technical Lead - Artificial Intelligence At Cancer Research UK, we're harnessing the power of Artificial Intelligence to help beat cancer. From Generative and Agentic AI to machine learning, AI is becoming a transformative capability across our organisation - helping us work smarter, accelerate scientific discovery, and create more personalised and meaningful experiences for our supporters. This is a chance to take on a highly flexible Technical Lead role where you can apply your deep technical expertise to purposeful work, while enjoying the autonomy to work largely remotely and shape solutions that genuinely matter. About the role As a Technical Lead, you'll play a critical role in turning ambitious AI opportunities into high quality, scalable technology solutions. You'll work across the full lifecycle - from early stage ideas and proof of concepts through to production ready systems that are embedded into the organisation. You'll be accountable for technical quality and delivery, working in a highly matrixed environment alongside internal product teams and trusted external partners. Technology agnostic and adaptable, you'll help shape problem statements, align solution designs to our AI vision, and guide teams through complex technical decisions. This is a hands on leadership role that offers variety, influence, and the opportunity to help define how engineering practices evolve in the age of AI - all while supporting a mission that saves lives. What will I be doing? Act as Technical Lead for key AI initiatives at different stages - from emerging ideas and proofs of concept through to solutions ready to scale and operationalise Assess technical complexity, feasibility, and effort, helping teams make informed delivery decisions Identify where foundational changes to platforms or infrastructure are needed to unlock AI capabilities Work with Product Managers and colleagues to assess when and how to partner with external suppliers Collaborate closely with Product and Project Managers, Architects, UX and Service Designers, and Business Analysts to understand user needs and iteratively design effective solutions Provide technical assurance and constructive challenge for external technology partners Validate high level designs and support smooth transitions from design into delivery Produce low level designs, technical work plans, and documentation in line with delivery standards Proactively surface technical risks, issues, and dependencies to initiative leads Contribute significantly to testing strategies and plans to ensure solutions are robust, secure, and reliable What are we looking for? We're looking for someone who brings both strong technical leadership and a genuine interest in how AI can create real world value. You'll have: Experience delivering Commercial Off the Shelf (COTS) and Software as a Service (SaaS) solutions, from procurement through to live operation Recent, hands on experience writing clean, maintainable, and well tested code using proven design patterns The curiosity and adaptability to learn new languages, frameworks, and tools Deep technical expertise and the confidence to tackle complex problems independently A strong interest in AI and innovation, with the ability to role model how modern engineering practices can evolve to deliver greater impact Experience working across a range of domains, with the ability to context switch as priorities change Proven experience running critical services in production and designing scalable, secure, and highly available systems Experience acting as a technical lead: defining solutions from scratch, shaping technical direction, and reviewing the work of other engineers Knowledge of modern software delivery approaches (e.g. Scrum, Kanban), with some understanding of spec driven development Excellent communication skills, enabling you to explain complex ideas clearly and influence both technical and non technical stakeholders Comfort working in complex environments with multiple priorities, and the resilience to adapt to continual change Highly desirable to have experience implementing bespoke data, machine learning or AI solutions from pilot through to operationalisation. Ideally hold a professional certification (e.g. cloud architect) in at least one major cloud data platform (e.g. GCP, Azure, AWS, Snowflake, Databricks) and will, ideally, be an active participant in that cloud's community. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. You'll help make breakthroughs possible-not just in laboratories, but in parliaments, communities and homes across the UK. Together, we're building a future where everybody lives longer, better lives free from the fear of cancer. Ready to use your voice to help save lives? We'd love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Internal applicants' eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: completed their getting started period discussed their intention to apply and gained approval to apply with their line manager been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. Additional information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.

Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.

Software Engineer - Defence Technology 60,000 - 85,000 DOE Southampton - Hybrid Security Clearable Are you a software engineer who wants your work to genuinely matter? We're looking for a passionate software engineer to join a high-performing team tackling some of the most technically demanding challenges in the defence sector. This isn't about maintaining legacy systems or shipping incremental updates - it's about building cutting-edge capability that operates at the edge, in the field, and under pressure. The Role You'll be part of a team delivering software solutions that leverage the latest in machine learning, edge compute, and DevOps automation. Think rapid capability deployment, deployed hardware environments, sensors, and robotics - the kind of engineering problems that push you to grow. You'll own code releases and deployments, support operational systems, and collaborate across disciplines to drive agile best practice into real-world solutions. What You'll Be Doing You'll work closely with product owners and fellow engineers across the full delivery lifecycle - from architecture discussions to production deployments. Day to day, that means contributing to agile ceremonies (Scrum, Kanban or SAFe), participating in code reviews, working with quality engineers to uphold high standards, and troubleshooting operational systems when it counts. This is a collaborative, technically ambitious environment where your voice matters and your ideas get heard. What We're Looking For You'll have a degree in a STEM subject, or equivalent practical experience. Beyond that, we're interested in engineers who are curious, proactive, and genuinely energised by solving hard problems. You'll be familiar with some combination of the following - we don't expect expertise across everything, but we do want depth in some areas and a hunger to learn the rest. Languages: Python, Java, Rust, or JavaScript Cloud: AWS (primary), with Azure or GCP experience a bonus Containerisation & Virtualisation: Docker or Podman, Kubernetes, and ideally some exposure to GPU containerisation (NVIDIA Container Toolkit, Run:AI) Architecture: Microservices, serverless, edge compute, RESTful APIs, Protobuf/gRPC, and stream-based pub/sub systems including Kafka and MQTT DevSecOps: Git, CI/CD pipelines (e.g. GitLab), Infrastructure as Code (Terraform, Puppet, Ansible), and Linux shell scripting As important as the technical profile is the person behind it. You'll communicate clearly with colleagues at all levels, thrive in a team, and take ownership of your work with a solutions-first mindset. What's on Offer Alongside a competitive salary, you'll have access to a flexible benefits package spanning health and wellbeing, financial protection, and lifestyle perks. You'll join a genuinely inclusive organisation that invests in its people and its technology in equal measure - having doubled in size over the last four years, the growth here is real and the opportunities that come with it are too. There's also a thriving internal community of technical groups where engineers come together around shared interests, tools, and ideas. It's the kind of place where intellectual curiosity is encouraged, not just tolerated. This role requires the ability to obtain UK Security Clearance. If you're ready to work on problems that matter, with people who take pride in what they build, we'd love to hear from you.

YT Tech are working with a security technology company based near Worcester. We are looking for a Senior Embedded Engineer who wants to do more than just write code. This is a role for an engineer who enjoys the sharing of ideas and wants an interesting role. The Mission: You will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development in Embedded C and C++. Microprocessors: Deep experience with the STM32 family (ARM Cortex). RTOS: Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident and articulate. Right to Work: Full, unrestricted right to work in the UK is essential (No visa sponsorship available). If you're interested and match the criteria, pease apply with your most recent CV and I will be in touch to discuss.

Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Full Stack Software Engineer UK Based Fully Remote £100k £120k + generous bonus scheme The business Join an award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer who enjoys building polished, high-performance web applications and taking real ownership of the systems they work on. You ll be comfortable working in fast-moving teams, care deeply about code quality, and have hands-on experience applying AI in production environment (particularly in enterprise or data-rich settings) The role & relevant experience You ll be responsible for designing, building, and evolving full-stack product features across modern web and data systems. Key areas include: Full-stack development using TypeScript Frontend work with Svelte (or similar modern component frameworks) Building and maintaining cloud-native systems on AWS Working with data platforms such as Postgres and Snowflake, plus caching layers like Redis Designing SQL-based data models and working with distributed data workflows Integrating LLM-driven capabilities (e.g. RAG / CAG architectures) into production grade systems. If big systems, AI initiatives and modern tech get you fired up, this could be your next move.

About us Lead Data Science Engineer United Utilities Location: Lingley Mere (Warrington) 3 days per week onsite Salary: Competitive + Bonus + Excellent Benefits United Utilities is transforming how data, intelligence and automation shape the future of water services for millions of customers. As we build a modern, ambitious analytics capability, we're looking for a Lead Data Science Engineer who can combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely lands this is the role for you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure and Databricks. Translating complex analysis into clear, compelling stories for both technical and non-technical audiences. Developing automated, secure and reliable analytical services that scale across the organisation. Setting standards for coding, reproducibility, ethics and model lifecycle management. Collaborating closely with data architects, engineers, managers and developers to shape a modern data ecosystem. Coaching and educating teams across the business to build trust in advanced analytics and strengthen data literacy. Leading by example through peer reviews, knowledge sharing and continuous improvement. What's in it for you 26 days annual leave, rising to 30 after four years, plus bank holidays Up to 14% employer pension contribution (21% combined) Up to 10.5% performance-related bonus Company-funded healthcare plan The opportunity to shape the future of data science in a major UK utility A collaborative, transparent and supportive environment where your ideas genuinely matter Ready to lead the future of data science at UU? If you want to apply advanced analytics, machine learning and AI to real world challenges and you enjoy leading conversations as much as writing code we'd love to hear from you. We may be unable to offer sponsorship for this role. We may be unable to offer sponsorship for this role.

Why join Marshall Land Systems in this role This is a great opportunity for a Mechanical Design Engineer who wants variety, hands-on engineering exposure and the chance to develop within a strong mechanical design team. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. The work is practical, varied and meaningful, with engineers involved across design, build, integration, production support and in-service improvement. One project may involve developing structural solutions for a welded frame, another may require packaging equipment into constrained spaces, while another may focus on supporting manufacture, resolving build issues, updating design data or contributing to bids and modifications. You will not be working on the same product every day. Each programme brings different technical challenges and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. You will be part of a supportive mechanical design team, working from our modern offices in Cambridge and collaborating with colleagues across Engineering, Manufacturing, Quality, Supply Chain and Operations in the UK and Canada. For someone who wants to grow technically and see their designs become real physical products, this is a strong opportunity. This is a hybrid role, with an expectation to be onsite in Cambridge around 70% of the time. The role A Mechanical Design Engineer is required to support the design, development and delivery of robust mechanical solutions across bids and projects. The role will help provide continuity of design intent, maintain configuration control and support effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. Working as part of a wider engineering team, the role will involve developing requirements, producing and checking engineering data, creating and updating 3D models and 2D drawings, supporting configuration control and contributing to the delivery of safe, compliant and manufacturable solutions. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. The successful candidate will work closely with colleagues across Engineering and Operations in both the UK and Canada, supporting the delivery of products and systems that meet customer, regulatory, cost and schedule requirements. This is engineering you can see. Our teams work on real physical products, support them through build and integration, and often remain involved as designs mature through trials, production and in-service use. Your responsibilities will include Support the design and development of mechanical solutions across bids, projects and product modifications. Create, amend and support the checking of mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated engineering data. Use Autodesk Inventor to develop 3D models, assemblies, drawings and practical mechanical design solutions. Use Windchill PLM to support product data management, configuration control, engineering change, item data, Bills of Material and release activity. Gain exposure to the full engineering lifecycle, from early concept and bid support through to design, build, integration and in-service updates. Support the generation and development of design requirements from stakeholder and customer needs. Contribute to the development of mechanical architectures and practical design solutions. Work to regulatory, customer and Marshall processes, ensuring engineering outputs are safe, compliant and fit for purpose. Support the preparation and checking of technical documentation, including design data, technical reports and certification evidence. Maintain product, drawing and document configuration control. Work collaboratively with Mechanical, Electrical, Manufacturing, Quality, Supply Chain and Operations teams. Support design for manufacture and assembly activities, working with production and manufacturing teams to develop practical and efficient solutions. Assist with design queries, inspection reports, technical issues and warranty-related investigations. Support technical input into bids, statements of work and project documentation where required. Identify opportunities to improve design quality, cost, manufacturability and delivery performance. Contribute to continuous improvement and challenge existing ways of working where appropriate. Develop your technical capability with support from experienced Senior and Principal Engineers. Contribute to real physical products where good engineering judgement, attention to detail and practical design make a visible difference. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. You will be joining a team that is technically strong, approachable and supportive. We value engineers who share knowledge, help others, challenge constructively and take pride in delivering good engineering. What we are looking for Apply if you have most of the following: Degree qualified in Engineering, Mathematics or Physics, or equivalent relevant experience. Experience in mechanical design engineering within a complex or regulated environment. Experience producing or supporting mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated design data. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to work from requirements and develop practical engineering solutions. Understanding of engineering standards, product safety and design governance. Understanding of design for manufacture, design for assembly and configuration management. Broad understanding of manufacturing methods such as sheet metal fabrication, welding, riveting and bonding. Strong problem-solving skills with a high level of attention to detail. Ability to work accurately, manage priorities and deliver to timescale. Confidence to provide sound technical input based on facts and engineering judgement. Good communication skills, with the ability to explain technical information clearly to both technical and non-technical audiences. Ability to work effectively across teams, functions and locations. Desirable experience Experience supporting products through production, build, integration or in-service support. Experience contributing to bids, technical proposals or statements of work. Experience preparing technical reports and supporting certification activities. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. The benefits we offer include 27 days holiday, increasing with service up to 30 days, with the option to buy and sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefits programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details

Why join Marshall Land Systems in this role This is an excellent opportunity for a Senior Mechanical Design Engineer who wants technical ownership, programme variety and the chance to influence real engineering outcomes. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. This role is not about repeatedly designing the same product. You will support bids, new product development, modifications, configuration control, production support, integration, trials and in-service improvements. One programme may require structural design and welded frame development, another may involve packaging systems into a constrained module, while another may focus on manufacturability, integration or customer-specific modifications. As a Senior Engineer - Mechanical Design, you will be expected to apply sound engineering judgement, guide others, make technical decisions and help maintain continuity of design intent across complex programmes. You will also support the development of less experienced engineers through technical guidance, coaching and checking. You will be joining a strong and supportive mechanical design team, working from our modern Cambridge offices and collaborating with colleagues across the UK, Canada and the Netherlands. This opportunity is a hybrid role requiring you to be onsite in Cambridge around 50-70% of the time. Job Description A Senior Engineer - Mechanical Design is required to take lead responsibility for mechanical design activities, provide continuity of design intent and configuration control, and ensure effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. The role will be to act as a senior mechanical design engineer, providing Subject Matter Expert leadership and guidance in the development of bids and delivery of projects. There will also be occasions where the successful candidate will lead specific projects or work packages. The role will require working with the current team to generate and develop requirements, define mechanical architecture, produce and check engineering data, and support technical planning. The role will also involve coaching and supporting others within the team. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. Your responsibilities will include Act as a Mechanical Design Subject Matter Expert across bids, projects and product modifications. Take technical ownership of mechanical design activities across varied programmes and product types. Produce, review and check mechanical design outputs, including 3D models, 2D drawings, item lists, product structures, design data and technical documentation. Use Autodesk Inventor to develop robust 3D models, assemblies, drawings and design solutions. Use Windchill PLM to manage product data, configuration control, engineering change, item data, Bills of Material and release activity. Support the generation of complex mechanical design architectures for new and existing product design concepts, from initial risk assessment and feasibility studies through to functional design freeze. Lead technical input into bids, modifications and project delivery activities. Generate, review and check technical documentation, including project plans, technical proposals, customer and supplier statements of work, design data and certification evidence. Apply sound systems engineering thinking to mechanical design activities. Work with stakeholder and customer requirements to derive internal design requirements. Develop mechanical approaches for modifications, upgrades and new project work. Provide technical leadership, coaching and support to mechanical design engineers and early careers engineers. Support continuity of design intent and maintain configuration control across complex programmes. Support design reviews, technical reviews and change boards. Work collaboratively with programme, manufacturing, supply chain, quality, integration and operations teams. Support the resolution of technical issues during build, integration, trials and in-service support. Help improve engineering quality, design standards, manufacturability and ways of working across the Mechanical Design function. Ensure compliance with regulatory, customer and Marshall processes. Bring significant platform, product and regulatory experience to the efficient and effective completion of engineering data sets. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. If you are looking for a role where every project looks the same, this probably is not it. Our programmes vary significantly in size, scope, customer need and technical challenge. That variety keeps the work interesting and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. Qualifications Qualified to degree level in Engineering, Mathematics or Physics with relevant and sufficient experience in the field. Alternative qualifications and/or experience will be considered. Apply if you have most of the following Demonstrable experience working as a Senior Mechanical Design Engineer or experienced Mechanical Design Engineer within a complex engineering environment. Experience producing, reviewing or checking mechanical design data, including 3D models, 2D drawings, item lists, product structures and technical documentation. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Strong understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to apply sound systems engineering thinking to mechanical design work. In-depth understanding of industry standard design practices such as tolerance assessment, design for manufacture and assembly, configuration management and design governance. Experience working from stakeholder or customer requirements to derive practical internal design requirements. Experience developing mechanical approaches for modifications, upgrades, new designs or complex project work. Ability to compile technical reports, certification documentation and supporting design evidence. Understanding of mechanical certification and validation methods, with the ability to identify appropriate means of compliance. Experience planning and delivering complex tasks to schedule and budget. Ability to manage priorities across multiple projects or work packages. Confidence to provide sound technical input based on facts, evidence and engineering judgement. Ability to support, coach and guide less experienced engineers. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex or regulated engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. The benefits we will offer you include 27 days holiday increasing with service up to 30 days, with the option to buy or sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefit programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details