81 jobs found

Lead Systems Engineer - Advanced Product Development Salary: 63,000 + comprehensive benefits package Location: Bristol area (Hybrid working - split your time between home and our advanced engineering site) Position Type: Full-time, Permanent Bring clarity to ambiguity and architect the future of high-tech machinery. We are a global leader in high-precision engineering solutions, and we are looking for a visionary Lead Systems Engineer to spearhead the deployment of best-practice systems engineering. Reporting directly to the Systems Engineering Manager, your mission will span the entire product lifecycle-from initial concept definition all the way to customer commissioning and real-world field trials. If you are a collaborative leader who excels at translating complex product visions into robust, scalable realities, this is your opportunity to make a lasting impact. What You Will Do Architect & Define: Translate high-level product visions into clear, concise requirements using systems engineering processes, including Use Cases, Context Diagrams, and System Architectures. Model-Based Design (MBSE): Utilize MBSE methods to develop functional, logical, and behavioral architectures to deeply understand system operations and workflows. Collaborate & Influence: Work closely with multi-disciplinary engineering teams to clarify technical work packages, manage critical trade-off studies, and swiftly resolve complex engineering bottlenecks. Lead & Mentor: Guide, coach, and inspire a growing core team of Systems Engineers at various stages of their careers, helping them develop into future engineering leaders. Evangelize Best Practices: Drive the evolution and integration of Systems Engineering processes across the wider organization, educating cross-functional teams on technical problem-solving. What You Bring to the Team We value diverse perspectives and encourage you to apply even if you don't tick every single box below! Education & Credentials: A Bachelor's degree in Systems Engineering (or equivalent) is essential (Master's preferred). Achievement of, or progress toward, Chartered Engineer status or an ASEP qualification is highly desirable. Proven Expertise: 5+ years of practical, hands-on experience applying best-practice Systems Engineering within a relatable, high-precision engineering industry. Regulatory Knowledge: Experience navigating regulated, compliance-driven environments (such as semiconductor equipment, aerospace, automotive, or medical devices), with a strong grasp of product safety and standards. Leadership & Influence: Exceptional negotiation and communication skills, with a proven ability to take ownership of complex situations and align cross-functional teams without direct authority. Mindset: A high-integrity, results-driven professional who sets the standard for accountability and delivers on tight milestones. What We Offer in Return Our culture is built on trust, accountability, and the belief that groundbreaking innovation is powered by people. Career Evolution: Access to lifelong learning, continuous professional development, and clear paths to senior leadership. Flexibility: A genuine hybrid working model that balances remote productivity with collaborative on-site teamwork. Well-being & Rewards: A competitive salary of 63,000, robust health and wellness perks, and an excellent corporate benefits scheme. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. 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.

SAP BTP & AI Technical Architect (Big 4) 90,000 - 120,000 + Car Allowance + Bonus UK Wide We are looking for talented individuals to join our big 4 consultancy client in this exciting new career opportunity. They have invested heavily into their SAP practice and are undergoing substantial growth due to new project wins, an exciting time to join! The ideal candidate would be business focused to support with the holistic delivery model. You can expect a modern culture, endless development opportunities and clear career progression. Role overview: Lead the design and delivery of scalable SAP S/4HANA and SAP BTP architectures, incorporating AI and Generative AI capabilities. Advise clients on intelligent enterprise transformation, including automation, machine learning, and AI-driven solutions. Facilitate workshops and collaborate with stakeholders to identify high-value use cases and define strategic roadmaps. Support business development activities, including proposals, bids, and senior client engagements. What you would bring: Proven experience delivering complex SAP S/4HANA transformations with strong knowledge across integration, BTP, security, and full-stack architecture. Hands-on experience designing and delivering enterprise-scale AI or Generative AI solutions within SAP environments. Demonstrated ability to lead architecture design and technical teams, ideally across multiple full S/4HANA lifecycle implementations. Strong stakeholder management, workshop facilitation, and ability to translate business requirements into scalable technical solutions. Akkodis exists to connect the smartest people and brightest businesses to the opportunities they need to thrive. We're a Global leader in professional solutions for IT, Engineering and Life Sciences. 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.

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Data Scientist Cardiff / Hybrid Engineering AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.

Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing

AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Data Architect - Hybrid - Bristol - 80k - 88k + Bonus + Excellent Benefits I'm seeking an experienced Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office / 3 days home) 25 days annual leave + bank holidays (increasing over time) Enhanced pension Flexitime & flexible working options Electric car salary sacrifice scheme Healthcare cash plan Life assurance (4x salary) Discounts on insurance products and retailers Cycle to Work Scheme, community support days & social events If you are interested in this role or looking for something similar, please contact Alex MacDermott directly. 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.

Embedded Software Engineer Location: Stroud, Gloucestershire Salary: Up to 70,000 KO2's client is a fast-growing, well-funded tech start-up developing advanced sensing and monitoring systems using low-power embedded platforms, intelligent signal processing, and secure wireless connectivity. The Role You'll lead the full embedded development lifecycle, from requirements and system architecture through to firmware development, integration, and production release. You'll work closely with hardware, data, and product teams to deliver robust, low-power sensing solutions for real-world environments. Key Responsibilities Develop low-power embedded firmware in C/C++ Design for battery-operated, ultra-low power systems Implement sensor data acquisition and signal processing (e.g. MEMS microphones, accelerometers) Develop RF communication systems (LoRa/LPWAN, mesh networking) Implement secure communications (encryption, authentication, secure boot) Deploy optimised machine learning models on embedded devices Essential Experience Strong embedded C/C++ development experience Full product lifecycle experience (concept to production) Low-power system design expertise Sensor data processing and RF communications (LoRa or similar) Embedded security and debugging skills Desirable ML for acoustic detection MEMS microphone systems OTA updates and noise mitigation Start-up experience If you're looking to build intelligent, low-power sensing systems from the ground up, KO2 would love to hear from you.

We are supporting a cutting edge deep tech company in London that is building full stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large scale optimisation workloads. Their technology is already deployed in multiple real world environments, and they re now entering a major growth phase as they prepare to launch their next generation system. This is a rare opportunity to work on production grade quantum classical systems , collaborating directly with physicists, hardware engineers, and platform specialists to bring advanced quantum capabilities into modern AI and data centre ecosystems. You ll join the core software team responsible for the systems layer that connects quantum hardware to classical compute infrastructure. This includes designing and optimising the software that orchestrates quantum control, manages low latency data paths, and ensures reliable operation in demanding environments. You will: Design, build, and optimise core systems software in Python (with C++ or Rust also valuable) Own critical platform components, improving latency, throughput, reliability, and operability Develop low latency interfaces between quantum hardware and classical compute systems Work closely with physicists and hardware teams to integrate new platforms (FPGAs, lasers, scientific instrumentation) from prototype to production Build and enhance CI/CD pipelines, observability tooling, and deployment workflows for on prem data centre environments Profile and optimise system performance end to end, turning bottlenecks into measurable improvements Influence architecture and technical direction through design proposals and pragmatic decision making Raise engineering quality through code reviews, testing strategy, and maintainable interfaces Collaborate cross functionally to translate customer and internal requirements into robust, production ready software Support occasional out of hours work when systems require attention (no formal on call rota) You don t need to match every bullet; the team values curiosity, motivation, and the ability to dive deep into complex systems. Strong software engineering fundamentals and experience shipping production systems Proficiency in Python , plus working knowledge of C++ or Rust Experience in one or more of, low latency systems, Linux systems programming, high performance networking, embedded development, GPU programming, and/or FPGA or hardware software integration Comfort with modern engineering practices: code review, testing, Git, CI/CD Ability to debug and profile complex systems (latency, throughput, resource utilisation) Degree in CS, EE, physics, or similar, or equivalent practical experience Experience in commercial engineering or deep tech environments For immediate consideration, please forward an up-to-date CV.

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)

Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)

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 (see below)

Overview We are seeking a Senior Data Architect to join one of our client and lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment. You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition. Key Responsibilities Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance. Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets. Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services. Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage). Essential Requirements Significant Databricks experience required, including production-scale deployments and optimisation. Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns. Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems. Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (eg, Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement.

Data Engineer Telford/Hybrid - 2 days per month onsite £450 per day inside ir35 6 months duration Active SC clearance Are you an experienced Data Engineer looking to work on large-scale, impactful data platforms? We're seeking skilled Data Engineers to join a growing team delivering secure, scalable and innovative data solutions that enable better decision-making, support digital transformation, and accelerate the adoption of AI and Generative AI technologies. You'll play a key role in designing, building and optimising data pipelines and integration solutions within a modern cloud-based environment, working alongside talented engineers, architects and business stakeholders. What You'll Be Doing Building and maintaining robust data pipelines for ingestion, transformation and curation of data. Designing secure, reliable and high-performance data integration solutions. Developing and supporting enterprise-scale data platforms and services. Working closely with stakeholders to understand requirements and deliver high-quality data products. Ensuring solutions meet security, governance and operational standards. Contributing to engineering best practices and continuous improvement initiatives. Supporting and mentoring colleagues within collaborative Agile teams. Participating in design, development, testing and deployment activities. What We're Looking For Essential Skills & Experience Strong SQL development and data modelling expertise. Hands-on experience with Talend. Experience working with Pentaho Business Analytics (Pentaho BA). Strong Oracle database knowledge. Experience delivering data solutions within AWS cloud environments. Solid understanding of: Data integration ETL/ELT processes Data transformation Data orchestration Version control and release management Experience working in Agile delivery teams. Desirable Experience Exposure to AI, Machine Learning or Generative AI initiatives. Knowledge of data governance and data quality frameworks. Experience working within complex enterprise environments. Familiarity with CI/CD and DevOps practices. If this Data Engineer role is of interest apply now or email your CV to me at (see below)

About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.

Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary

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

Head of Software Engineering (Scala) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Head of Software Engineering . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Head of Software Engineering, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.

Join Our Client as a Data Solution Architect (GCP) Location: Edinburgh Contract Type: Temp to Perm (12-month initial contract) Are you ready to lead the charge in AI innovation within the financial sector? Our client is searching for a dynamic Data/AI Solution Architect to join the IDEA Lab-an exciting hub for pioneering AI and data solutions! This role offers an incredible opportunity to shape the future of data-driven decision-making in a prominent financial institution. About the Team: They are the engine room for AI innovation, driving rapid prototypes, reusable patterns, and scalable data solutions across the Business Transaction Banking (BTB) platform. As part of this vibrant team, you'll provide deep technical expertise and help shape forward-looking AI and data strategies. Role Purpose: As a Data/AI Solution Architect, you will be at the forefront of designing scalable, secure, and resilient data and AI systems. Your expertise will be instrumental in driving strategic initiatives including Machine Learning, LLMOps, and GCP cloud migration. You will bridge the gap between business needs and technical execution, ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end-to-end architectures for AI, ML, and data solutions on Google Cloud Platform (GCP) while ensuring alignment to platform strategy and security controls. Technical Leadership: Deliver high-quality solutions using GCP cloud-native services such as BigQuery, Cloud Run, and Vertex AI. Cloud Integration: Utilize your understanding of Kubernetes, service mesh, and network boundaries to architect efficient GCP workloads. Design Patterns: Implement API and service integration patterns using Istio, Apigee, and modern microservice standards. Governance & Compliance: Ensure that all solutions adhere to strict regulatory and security standards. Collaboration: Work closely with engineering, data science, and business teams to translate requirements into actionable designs. Required Skills & Experience: Cloud Expertise: Proven experience with major cloud platforms like GCP Data & AI Knowledge: Strong understanding of modern data architecture, Machine Learning, and AI tools. Experience with large-scale data migrations is a plus! Architecture Leadership: Ability to design orchestrations for AI and ML systems, articulating trade-offs and leading design decisions. Communication Skills: Exceptional ability to convey complex technical concepts and represent the lab's technical direction in governance forums. Beneficial Skills: Experience with Vertex AI or other model lifecycle tooling. Familiarity with LangChain/LangGraph and AI workflow orchestration. Experience in multi-cloud environments and understanding of enterprise integration. Working Pattern: Enjoy a hybrid work style-spend at least two days a week (40% of your time) in our Edinburgh office, collaborating with a talented team. Why Join the IDEA Lab? This is your chance to be at the center of innovation! Influence platform-wide patterns, accelerate AI transformation, and work with highly skilled teams delivering cutting-edge solutions. If you're ready to make a significant impact and lead the way in AI advancements, we'd love to hear from you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.