64 jobs found

RF Systems Engineer Porton Down - Permanent Perm - On-site £40000 - £60000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at Porton Down, Salisbury, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support testing and optimisation of RF receiver hardware in a new synthetic range (laboratory), with additional support to over-the-air testing (anechoic chamber) and field trials. This will require using a range of RF test equipment to perform digital and analogue injection testing within synthetic EW scenarios. This role will allow autonomy to explore ways to optimise RF receiver performance through configurable memory (mission data) to improve real-world operation of the system when deployed to target platforms. This exploratory process will focus on the increasingly congested and contested electromagnetic environment, developing tactics, techniques, and procedures (TTP) for the RF receiver. To accurately represent the synthetic use cases these systems are required to integrate into, the role will liaise with military, academia, industry and international stakeholders, to complete the validation process. This new lab will be using the latest commercial-off-the-shelf (COTS) development Radio Frequency System on Chip (RFSoC) boards to achieve a high-fidelity electromagnetic environment. You will become and expert in configuring and calibrating these devices to aid testing of the RF receiver systems. This role also has influence over future development work, driving requirements through analysis of current EW systems. As such and understanding of requirements generation and the engineering lifecycle will be valuable to the role. Working autonomously with unprecedented access to the customer, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site and home-site MASS teams. The invaluable experience you ll bring, to help us achieve more. Essential: Ability to work autonomously to optimise complex EW system performance. Understanding of RF sensor systems and Test & Evaluation (T&E) practices. Proficient with RF test equipment (signal generators, oscilloscopes, and spectrum analysers). Experience calibrating hardware and software models into a laboratory environment. STEM Degree or extensive experience with RF Electronics. Desirable: Experience creating scripts/programmes (MATLAB, Python, or similar). Strong background in EW systems and concepts, including radar systems. Experience across the engineering lifecycle (Requirements, V&V, Acceptance). Understanding of Analogue & Digital Signal Processing techniques. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you!

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

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.

Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? If so, we'd love to hear from you ! About the Team The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10-year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. You'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job In this role, you will: Design, build and evolve secure, well governed cloud data platforms and pipelines that reliably support complex analytical and operational needs. Provide strong technical leadership to the team, including setting direction, reviewing critical code, mentoring engineers and upholding high engineering standards. Define and enforce standards for data engineering, pipeline development and deployment to ensure platforms are scalable, maintainable and safe to change. Take hands on ownership of the most complex or high risk areas of the data platform to resolve issues, improve performance and reduce operational risk. This includes being fully across potential data security risks. Work closely with analysts, data scientists and infrastructure colleagues to shape robust technical designs that enable high quality analysis and insight. Act as a trusted technical adviser to senior stakeholders, clearly explaining options, risks and trade offs relating to data infrastructure, security and compliance. Drive continuous improvement in data services, improving quality, resilience and user experience for users and cross government partners. Design and create accessible data engineering solutions that can be utilised and understood by the wider team of analysts and scientists Build a high performing, motivated team by fostering a culture of learning, experimentation and professionalism, and by being an effective, supportive line manager. About You This role requires someone who can operate at pace across strategy and delivery, leading by example through hands on technical expertise while developing others and enabling the organisation to make effective, responsible use of modern data engineering by clearly explaining technical risks, options and trade-offs to senior stakeholders. Some of the Benefits our people love! Generous Annual Leave - 25 days (rising to 30 after 5 years), plus public holidays and the King's birthday. Outstanding Pension Scheme - Defined Benefit pension with employer contributions of 28% Parental Leave Packages - Including 6 months' occupational pay for maternity/adoption, shared parental leave options. Flexible & Hybrid Working - Options include part-time, job-share, compressed hours, flexitime, and hybrid working (where business needs allow). Advance Schemes & Discounts - Rental deposit, cycle-to-work, SmartTech, season ticket loans, and access to HM Treasury's benefits portal for a wide range of discount codes. For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .

Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm) We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads and perform ongoing data quality checks Support and contribute to data governance, standards, and documentation Deliver high-quality, curated datasets for reporting and business analysis Support development of KPIs, dashboards, and analytical models Troubleshoot and resolve data, integration, and reporting issues Build and optimise solutions using Power BI, Power Apps, and Power Automate Integrate and manage CRM data (including Salesforce) to support business processes Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience 3-5+ years' experience in data science, analytics, data engineering, or automation roles Strong proficiency in Python Hands-on experience with SQL and Snowflake Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) Experience working with CRM data (Salesforce preferred) Solid understanding of data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred / Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details! This vacancy is being advertised by Belcan

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

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)

Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

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.

Data Engineer 12 months London - remote 466 pre day inside IR35 - Umbrella only Role description We are looking for an experienced Data Engineer to join the NHS England Digital Screening programme, contributing to the development of data dashboards and reporting products for a new digital Screening service. You will build and maintain data pipelines that ingest, transform and prepare data for reporting, developing ETL processes using PySpark and platform tooling. You will work within an Agile multidisciplinary team alongside Data Scientists, Analysts and UCD professionals. This is a largely remote role. Essential skills and experience Strong experience in data pipeline engineering, ETL development and PySpark Experience with Palantir products, including the NHS Federated Data Platform (FDP) Ability to ensure data quality, reliability and performance across reporting pipelines Experience supporting testing and validation of dashboards and underlying datasets Proven ability to work independently and proactively in Agile delivery teams Experience working alongside multidisciplinary teams including UCD professionals Strong communication and stakeholder management skills Comfortable with modern engineering practices including DevSecOps, TDD and CI/CD Ability to pair-programme and follow collaborative coding standards Desirable Experience working in NHS or wider public sector data environments Familiarity with screening or clinical data systems If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Data Scientist (Python / SQL / AI & Machine Learning) Location: Newcastle Upon Tyne Hybrid Salary: Competitive + Excellent Benefits Type: Full-time, Permanent Overview A leading financial technology and investment business is looking to appoint a Data Scientist to join its growing data and analytics function. This is an opportunity to work with large-scale datasets, advanced analytics and emerging AI technologies to deliver meaningful business insights and measurable commercial value. You'll play a key role in transforming complex data into actionable intelligence, supporting decision-making across areas including client analytics, operational efficiency, portfolio analysis and business performance. Working alongside data engineers, analysts and business stakeholders, you will contribute to the development of modern analytical solutions using machine learning, AI and statistical techniques within a well-governed and evolving data environment. Key Responsibilities • Deliver end-to-end analytics solutions from data preparation through to insight generation • Develop and maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute to MLOps practices including deployment, versioning and monitoring • Translate technical findings into clear business recommendations • Develop reusable analytical assets, datasets and reporting solutions • Collaborate with stakeholders to identify and prioritise high-value analytical opportunities Requirements • Commercial experience within Data Science, Analytics or a related discipline • Strong Python and SQL development skills • Experience applying statistical, machine learning or AI techniques to real-world problems • Experience working with structured datasets and analytical reporting solutions • Understanding of model validation, testing and performance monitoring • Strong analytical and problem-solving capabilities • Ability to communicate technical concepts to non-technical stakeholders • Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering or similar quantitative discipline Desirable • Experience with Microsoft Fabric or modern cloud-based data platforms • Exposure to NLP, LLMs or Generative AI technologies • Experience with MLOps practices and CI/CD pipelines • Understanding of data governance and model governance frameworks • Previous experience within financial services, fintech or regulated environments • Leadership or mentoring experience What's on Offer • Opportunity to work with advanced analytics, machine learning and AI technologies • Hybrid working arrangement • Exposure to large-scale datasets and business-critical projects • Collaborative and highly skilled data environment • Ongoing professional development and career progression opportunities • Opportunity to influence strategic decision-making through data-driven insights Apply If you're a Data Scientist who enjoys solving complex business problems through analytics, machine learning and AI, and you're looking to join a growing data-driven organisation where your work will have genuine impact, apply now or get in touch for a confidential discussion.

Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester

What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Data Analyst Programmer /Data Scientist Location: Larne, Northern Ireland (100% On-site) Duration: 12 Months Contract with potential extension Payrate: 33.25 - 42 per hour Inside IR35 Relocation: Open to candidates willing to self-relocate to Larne; please note that no relocation allowance/bonus is provided . About the Role We are recruiting for a global leader in heavy machinery and industrial power systems. We are recruiting for Data Analyst, this is individual contributor role focuses on developing reliable data pipelines, executing analytics, and driving automation initiatives across high-priority workstreams. You will join a collaborative, 3-person local team to bridge capability gaps and maintain delivery momentum. Key Responsibilities Data Engineering: Build and maintain ETL/ELT pipelines using Python, SQL, and Snowflake . Automation & CRM: Create dashboards and automated workflows via Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrate Salesforce data. Analytics: Provide curated datasets, support KPI development, and troubleshoot data issues. What We Are Looking For Experience: 3-5+ years in data science, analytics, data engineering, or automation roles. Technical Skills: Strong proficiency in Python, SQL, Snowflake , and Microsoft Power Platform . Experience with Salesforce CRM data is highly preferred. Soft Skills: A proactive self-starter with strong stakeholder management and an ownership mindset. Education: A relevant degree is preferred. This is an urgent role where Hiring Manager is looking to shortlist for an interview urgently. If you are interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Lead Data Scientist London - Hybrid 85,000 - 95,000 + Equity Data Idols are working with an early-stage technology company looking for a Lead Data Scientist to play a key role in the development of its predictive modelling and machine learning capabilities. This is an opportunity to join at an early stage and have a significant influence on both the product and the direction of the business. The Opportunity As the Lead Data Scientist, you'll take ownership of the machine learning and predictive modelling capability at the heart of the business. Working closely with experienced founders and industry experts, you'll design and build scalable forecasting systems that continuously generate, deploy and improve predictive models. You'll work with large-scale data, applying machine learning, experimentation and feature engineering to improve prediction accuracy and drive better customer outcomes. You'll also help shape product strategy, establish data science best practices, and build a critical part of the company's technology platform. This is a high-impact role in a small, ambitious team where your work will directly influence product performance, customer success and the future growth of the business. Skills and experience Experience building production machine learning models Strong Python and modern ML tooling experience A background in predictive modelling, classification, propensity modelling, churn prediction or related areas Excellent statistical and analytical thinking The ability to thrive in a fast-moving, ambiguous startup environment A desire to own problems end-to-end rather than operate within rigid structures If you're excited by building from the ground up, solving complex machine learning challenges, and seeing your work directly influence the success of a growing business, we'd love to hear from you. Apply today for an initial conversation and further details. Lead Data Scientist

Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.