244 jobs found

Experience 12+ years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, and Enterprise Analytics solutions, with strong expertise in modern cloud data architectures. Job Summary We are seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, architect, and optimize scalable enterprise data platforms. The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. The architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics. Key Responsibilities Define and lead the architecture and design of enterprise data platforms using Snowflake on AWS. Architect scalable data ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption for reporting systems, operational applications, and analytics platforms. Implement automation, orchestration, and scalable pipeline frameworks using tools such as Apache Airflow. Collaborate with business stakeholders and technical teams to align the data platform with enterprise data strategy. Support hospitality analytics use cases, including guest behaviour analysis, booking trends, revenue analytics, and operational reporting. Required Technical Skills Data Platform Strong expertise in Snowflake Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization. Cloud Platform Strong experience with Amazon Web Services, including: S3 IAM AWS Glue Lambda CloudWatch Data Transformation Strong experience with DBT for enterprise-scale data modelling, testing, and transformation pipelines. Programming / Query Strong expertise in SQL for data transformation and performance optimization Python (preferred) for automation and data engineering tasks. Data Engineering Enterprise ETL / ELT pipeline architecture Data warehousing and enterprise data modelling Dimensional modelling (Star Schema, Snowflake Schema) Data pipeline scalability and reliability design. AI / Data Science Exposure Experience supporting AI/ML data pipelines and data preparation for machine learning models. Understanding of predictive analytics, recommendation engines, and customer behaviour analytics. Ability to design AI-ready data platforms for future analytics use cases. Preferred Skills Experience with Apache Airflow for pipeline orchestration. Knowledge of CI/CD pipelines, DevOps, and Git-based development workflows. Experience with data governance, metadata management, and enterprise data catalog tools. Experience with BI tools such as Tableau Microsoft Power BI. Domain experience in hospitality, travel, or hotel systems, including reservation systems, guest analytics, and operational reporting. Education Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field.

DevOps Engineer Location: Newport Salary: £47,000 - £54,000 (including allowances) Job Type: Full-time, Permanent Business Area: DDaT - Technology Are you passionate about collaborative working and problem-solving?Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability?If you are looking for a role where you are treated as an individual and supported in your professional development, then this DevOps Engineer position is for you! An excellent, exciting opportunity within a growing civil service business, the Platform Engineering group during the companies digital transformation journey. This role is perfect for someone who wants to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps YAML Pipelines, Azure, Terraform, scripting, deploying to Azure Machine Learning Day-to-Day of the Role: Support all aspects of the software development lifecycle, applying DevOps principles. Lead on developing, implementing, enhancing, and managing DevOps practices following agreed processes and best practices. Design, release, and implement automated, efficient delivery pipelines and manage deployments onto Production. Provide administration, configuration, and troubleshooting support for CI & CD pipelines and hosted container applications. Lead on delivery, integration, administration, and configuration of DevOps tools. Conduct reviews and quality checks for newly delivered code and advocate for security and performance standards. Implement and configure DevOps specific monitoring, alerting, auditing, and notification strategies. Contribute to technical decisions and directions in a collaborative team environment. Attend Team and Agile Scrum ceremonies. Promote and encourage the use of test automation and infrastructure-as-code within delivery teams. Required Skills & Qualifications: Understanding of DevOps principles and experience in a DevOps or iterative development culture. Demonstrable experience with CI & CD tools, including pipeline implementation. Awareness of automated testing and embedding this in CI/CD pipelines. Strong troubleshooting and problem-solving skills with experience in service support. Technical skills in Python, Bash, PowerShell. Experience with Azure DevOps Pipelines or other CI/CD orchestration tools. Experience in containerisation technologies and platforms such as Docker or Azure container services. Experience managing and supporting distributed source code repositories (Git). Experience of consuming cloud platform resources (Microsoft Azure preferred). Experience supporting the build and deployment of, or coding in the following: Python .NET Core / C# NextJS / Node Frontend Experience with Infrastructure as code such as Terraform Experience in containerisation technologies and platforms such as Docker or Azure Container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry Experience in managing and supporting distributed source code repositories (Git). Benefits: A Civil Service Pension with an employer contribution of 28.97%. Hybrid working arrangements with at least 20% of time spent onsite. Opportunities for professional and career development. To apply for this DevOps Engineer position, please submit your CV to be considered immediately.

Senior Data Scientist, Alternative Pricing Leicester You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected. The Company They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work. The Team You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist. The Role As a Senior Data Scientist, you will: Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team. Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches. Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering. Deploy models into production using Python, SQL, Azure ML and an internal deployment platform. Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy. Mentor junior team members and contribute to setting technical standards within the team. Your Skills And Experience You will bring: Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling. Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure. Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling. Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering. Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes. How To Apply If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.

IT Service Delivery Manager Position: Senior Service Manager (Internal Name) Location: Ringwood, Hampshire + Hybrid home working Salary: £40k DOE + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working alongside two fellow Senior Service Managers, you will form part of a well-established service management team helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible for the day to day operation of our business as usual support services, including allocating tasks, monitoring and maintaining contractual KPI commitments, producing customer reports, and serving as an escalation point for both internal and external stakeholders. You will take ownership of the end-to-end customer experience, understanding people, processes and technology to maximise service quality and ensure operational excellence. You will also hold line-management responsibilities. Duties Include: Provide strategic oversight of all service operations, including the full lifecycle of incidents, service requests, problems, and major incidents, ensuring SLAs are met and ITIL processes (Major Incident, Change, Problem) are consistently applied. Drive proactive and preventive service delivery by identifying recurring issues, analysing operational data and trends, and implementing improvements that reduce disruption and enhance service stability. Lead customer experience and service governance, including Service Reviews, satisfaction measurement, feedback loops, and actionable service reporting that informs continuous improvement. Build strong relationships with customers, internal teams, and technical stakeholders, acting as a senior escalation point and ensuring collaborative, positive service outcomes. Champion continuous improvement and professional development, driving service quality initiatives, enhancing operational efficiency, and maintaining awareness of evolving technologies and best practice. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven leadership experience, a strong track record managing incidents, problems, and major incidents, and consistently meeting SLAs/KPIs. Solid technical understanding of IT support environments, ideally with previous hands on troubleshooting or IT operations experience. Experience and knowledge of using ITIL v3/v4 best practice. Excellent communication and stakeholder management skills, able to influence senior stakeholders, manage escalations professionally, and present confidently. Strong analytical and reporting ability, using data and service metrics to identify trends, reduce recurring issues, and drive measurable improvements. Ability to learn new technologies quickly. Highly organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. Some travel to customer sites may be involved, so you must have a Full UK Driving license. The Package: Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.

Zenith Training is the fast-growing learning and development division of Zenith People. We work across various sectors, integrating strategic thinking with innovative training to help businesses deliver their strategy and future growth across the North East. As an Ofsted Rated Good provider and ISO 9001:2015 certified organisation, we re committed to maintaining the highest standards of quality and continuous improvement in everything we do. We re a growing business, and we re always looking to bring like-minded, talented individuals on board to support the achievement of our business objectives. So if you feel that we sound like the type of business you can see yourself working in and think that you have something to bring to our table, please get in touch we d love to hear from you! Zenith People are looking to recruit an experienced AI Trainer. This role is responsible for developing and delivering innovative AI training programmes, with a focus on embedding AI technologies like Microsoft 365 Copilot into organisational processes through structured skills bootcamp and apprenticeship delivery models. The Trainer will support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops and ongoing consultancy-style support aligned to apprenticeship standards. Role responsibilities and requirements: Design and deliver comprehensive AI training programmes, including high-level Microsoft 365 Copilot leadership workshops and wider AI integration pathways. Create and maintain high-quality training materials such as presentations, user guides, integration roadmaps, and case study-based labs. Lead interactive workshops and training sessions to educate learners on AI concepts, tools, and best practices. Support learners across an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. Monitor learner progress to ensure learning continues and learners achieve in a timely manner. Ensure systems and processes are followed and are in line with contractual deadlines. Deliver outcomes in line with current KPI s and business performance targets. Administrating and completing paperwork associated with programme delivery within required timescales. Promote and monitor equality and diversity in all aspects of the role and record issues that may arise. Hold a Level 3 teaching qualification or above or work towards achieving a L3 Teaching qualification. Have practical experience in AI, machine learning, or data science, including hands-on experience with AI tools, frameworks, and technologies. Be proficient in Microsoft Offices packages, including Word, Excel, and PowerPoint. Have strong organisation and administrative skills. Have excellent written and verbal communication skills. Experience of unsupervised working and using own initiative. Be able to show an understanding of different learning styles and how to differentiate through various teaching methods. Able to motivate self and learners. Able to plan and deliver imaginative and motivational sessions with a clear focus on the needs of the individual learner. A willingness to work flexible hours and locations as required. To consistently demonstrate desired the company behaviours and standards. Be flexible, committed & enthusiastic. Keeping workplace safe and tidy. Full, clean driving licence and use of a vehicle must be flexible with travel. (Business insurance is compulsory) To believe in and demonstrate the company values and team charter behaviours. Benefits of working with Zenith Enhanced Holiday Package Enjoy more time off to recharge. Great Working Environment Supportive, collaborative, and positive culture. Free Parking Convenient and cost-saving for all staff. Pension Salary Sacrifice Tax-efficient way to boost your retirement savings. Cycle to Work Scheme Promote health and sustainability. Extra Pension Contributions Additional employer contributions after probation. Hybrid Working 1 day per week working from home (after probation). Social Gatherings 4 events per year to connect and celebrate. Death in Service (DIS) 4x salary for peace of mind. Training & Development Continuous learning and career growth opportunities. Employee Assistance Program (EAP) Includes a wellbeing app for mental health support. Birthday Off Celebrate your special day with an extra day off

Database Engineer Location: South West England (Hybrid - 3 days per week on site) Salary: Competitive + Benefits My client, a well established organisation in the South West, is currently investing heavily in modernising its data and digital capabilities. As part of this wider transformation, they are looking to appoint a Database Engineer who will play a key role in helping the business unlock greater value from its operational, environmental and commercial data. This is a hands on engineering role focused on building reliable and scalable data solutions. The successful candidate will work on modernising legacy systems, developing robust data pipelines, and helping the organisation turn complex and unstructured datasets into meaningful insights that support operational efficiency and real-time decision-making. You will work closely with IT operations teams and wider business stakeholders, so strong communication skills and the ability to translate technical solutions into business outcomes will be important. Responsibilities Lead the migration of legacy databases and systems to modern cloud or on-premise data platforms Design, build and maintain ETL pipelines to ingest and process large datasets from multiple sources Develop efficient processes for data collection, transformation and management Collaborate with technical and operational teams to identify opportunities to improve processes through better use of data Ensure strong data governance, quality and security across data platforms Support analytics, reporting and machine learning initiatives by providing clean, structured data Contribute to the wider digital transformation programme and continuous improvement of data capabilities Skills and Experience Experience working as a Data Engineer or Database Engineer in a commercial environment Strong SQL expertise and experience developing data pipelines Experience with ETL frameworks, data modelling and working with complex datasets Familiarity with modern cloud platforms, particularly Microsoft Azure Understanding of database migration, integration and data warehousing best practices Strong analytical and problem-solving ability Excellent communication skills and ability to work collaboratively across technical and non-technical teams Eligibility Applicants must have the right to live and work in the UK. Unfortunately, sponsorship or relocation support cannot be provided for this role.

AI Architect Financial Services London Hybrid At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services. The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business. As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions. The role You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions. Working closely with engineering teams and senior stakeholders, you'll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting end-to-end AI pipelines , from data ingestion through to model deployment. Leading engineering teams across AI, machine learning and data engineering. Engaging senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as AWS, Azure or Google Cloud Data platforms including Databricks, Snowflake or BigQuery Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. A background delivering large-scale transformation programmes, often within consulting or advisory environments. Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams. Experience working within Financial Services environments is highly valued. If you'd like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW Datatech Analytics

Our client is seeking a Lead Software Engineer to lead a team of five engineers and drive the development of high-performance desktop software used in cutting-edge industrial applications. The successful candidate will play a key role in translating advanced technical concepts and research-driven innovation into robust, scalable, customer-ready software products. The Role Lead, mentor, and develop a team of 5 software engineers Take ownership of the desktop software architecture (C# / WPF) Translate research concepts and technical innovation into commercial-grade products Drive best practice in software engineering, quality, and maintainability Work closely with technical and research teams to turn new ideas into deployable solutions Remain hands-on with code, design decisions, and technical problem solving Contribute to product strategy and technical roadmap Essential Experience Strong commercial experience with C# and WPF Proven experience leading and developing a software team (minimum team size of 4-5) Experience delivering production-ready software products A research-led environment (PhD, university research, advanced R&D roles) with subsequent commercial software delivery experience Ability to translate complex technical or research-driven concepts into practical software solutions Beneficial Experience DevOps and CI/CD pipeline implementation Exposure to machine learning or AI-driven systems Experience working on technically complex or cutting-edge software products Modern software engineering practices and tooling Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge

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 Writing Desirable 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 AI You 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 Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Role: Chief Software Engineer and Team Leader Location: Milton Keynes / London (Hybrid) Salary Range: 88k - 95K + discretionary bonuses Active SC Clearance preferred Responsibilities Your main responsibilities will be to. Oversee the delivery of DRAM and DSR solutions and other software engineering projects such as may arise from time to time. Manage and maintain the evolution architecture of the DRAM and DSR systems and services. Manage and enable the relationships with partner software development teams and with 3-rd party suppliers. Ensure compliance with client and departmental security and cyber security regulations and development paradigms. Essential Criteria Extensive knowledge and experience in Software engineering principles, methods, and techniques especially the constraints of public sector operations including on-premise systems with no internet access, and secure cloud environments. Leadership skills to manage, direct and supervise the team and delegate tasks appropriately. Project management skills to oversee multiple projects concurrently, ensuring they are completed on time and within budget. Strong problem-solving skills to diagnose, troubleshoot, and resolve any technical issues that may arise. Excellent communication and interpersonal skills to liaise with other department heads, staff members, and stakeholders. Strategic thinking and decision-making skills to make high-level decisions about the technical direction of the company. Knowledge of budgeting and financial principles to ensure the engineering department operates within the allocated budget. Understanding of the latest industry trends and technologies to keep the company at the forefront of its field. Familiarity with industry-related regulations and quality standards to ensure compliance. Desirable Criteria Experience of working with analytical systems include data science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities

Senior Data Engineer (Python/PySpark & SQL) London (Hybrid - 3 days in office Monday, Tuesday, Wednesday) Up to 85,000 dependent on experience Ref: J13073 We're working with a fast-growing AI SaaS business where data sits at the core of everything they build. They're looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: You'll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales. The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery. You'll also play a key role in supporting and mentoring other engineers through code reviews and collaboration. You'll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way. What we're looking for: Strong Python and SQL experience in production Experience with Spark, Snowflake, BigQuery or similar Cloud experience (AWS, GCP or Azure) Comfortable working with complex, messy data Experience owning pipelines end-to-end Collaborative mindset with mentoring experience If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more Right to work in the UK required (no sponsorship available) If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) .

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

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.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

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 Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

SF Technology are supporting a high-growth, digitally led UK business looking to appoint an AI Evangelist to lead the next phase of its technology and AI capability. This is a leadership role where you will define and deliver the organisation's AI and engineering strategy, while remaining close enough to the technology to guide architecture, development standards and infrastructure decisions. You will lead a capable in-house engineering team responsible for the platforms, data pipelines and infrastructure that power a high-volume digital environment. Alongside this, you will drive the adoption of AI, machine learning and advanced data capabilities across core commercial and operational functions. The role sits within the leadership team and will play a key part in shaping the company's wider digital, product and innovation strategy. Key responsibilities - Define and deliver a scalable AI and technology roadmap aligned to business growth - Lead, mentor and grow a high-performing engineering and data team - Oversee platform architecture, infrastructure, security and operational resilience - Drive the development and deployment of AI and machine learning models into live business workflows - Ensure engineering best practice across software development, testing and deployment - Translate commercial objectives into robust, scalable technical solutions - Work closely with senior leadership to influence digital strategy, investment and innovation Experience required - Proven experience operating in an Engineering, AI related role - you will have managed and led small teams - Strong software engineering background, ideally with hands-on experience in Python-based development environments - Experience building and scaling data platforms, machine learning pipelines or AI-driven applications - Demonstrable experience deploying AI models into production environments rather than purely experimental use cases - Experience leading engineering teams responsible for high availability platforms, APIs and complex backend systems - Strong understanding of cloud or hybrid infrastructure, containerisation and scalable architecture patterns - Experience embedding data, analytics and AI into real commercial decision making (pricing, automation, optimisation, fraud detection, personalisation etc.) - Ability to operate at both strategic and technical depth, influencing senior stakeholders while maintaining engineering credibility - Experience leading engineering teams, and be able to effectively challenge Developers This is an opportunity to shape and scale an AI-driven engineering capability within a highly successful digital business, with real influence over technology direction and innovation. Birmingham (office based, 4 days a week onsite)

Stevenage We are looking for a talented Software Engineer with a strong background in data science to join our team, working within a concept programme. The role is ideal for someone who thrives when working within a research environment, exploring new and different ways of working to prepare us for future needs! Salary: Circa £65,000 depending on experience Dynamic (hybrid) working: typically, 4 to 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: You will play a key role, with responsibilities in areas of: Design and development of scalable software systems/solutions with integrated data science capabilities. Creating and maintain database schemas and data models Maintain and enhance existing architectural components such as Data Ingest and Data Stores. Troubleshooting and diagnosing issues within integrated (enriched) data systems. Work with complex dataset to extract insights that supports drive decisions/solutions Translate experimental ideas into production-ready solutions Monitor system performance and implement updates to maintain optimal operation. Continuously evaluate emerging technologies, engaging wider to incorporate them into our development strategies What we're looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning mindset Strong problem-solving skills and research-oriented mindset 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 Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Data Platform Architect - Permanent - Hybrid Role Overview We are seeking a highly skilled Data & AI Platform Architect to design and deliver cloud-native data, analytics, and AI platforms across the full data value chain. This role focuses on building scalable, secure, and sustainable solutions that integrate batch and Real Time processing, robust data management practices, and modern analytics and AI capabilities. You will play a key role in shaping architecture, advising clients, and leading small teams or workstreams, while remaining hands-on and close to delivery. This is an ideal position for someone who combines strong technical expertise with the ability to translate complex concepts into practical, business-focused solutions. Key Responsibilities Design and architect end-to-end data and AI platforms leveraging cloud-native technologies Build scalable solutions that integrate batch and Real Time data processing pipelines Define and implement robust data management practices across the full data life cycle Incorporate modern analytics, Machine Learning, and Generative AI capabilities into platform designs Advise clients on architecture, best practices, and strategic data platform decisions Lead small teams or workstreams, ensuring high-quality delivery and technical excellence Collaborate with cross-functional stakeholders including engineers, data scientists, and business teams Ensure solutions are secure, compliant, and aligned with industry standards and regulations Promote adoption of CI/CD and modern DevOps practices for data and AI platforms Required Skills & Experience Proven experience (5+ years) in data & analytics and AI solution design and delivery Hands-on experience with cloud-centric architecture and modern data platform technologies Strong understanding of core data management concepts across the full data life cycle (ingestion, storage, processing, governance, and consumption) Experience leading solution implementation for small teams or workstreams Familiarity with CI/CD pipelines and modern approaches to infrastructure and application delivery Solid understanding of Machine Learning, Generative AI, and Large Language Models, and their application in enterprise solutions Ability to clearly articulate complex technical concepts to both technical and non-technical audiences Desirable Experience Experience working in public sector or regulated industries (eg, government, healthcare, financial services) Familiarity with data governance, security, and compliance frameworks Experience designing platforms with sustainability and cost-efficiency in mind To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.