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The Opportunity: You ll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Full Stack Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you ll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today s society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (e.g. Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

ABOUT BG AUTOMOTIVE BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success. As a Data Scientist , you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify opportunities for data-driven improvements Assist with the implementation of Oracle ERP, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine learning. Strong knowledge of data visualization tools (Preferably Power BI). Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation Experience with ETL processes and building/maintaining data pipelines. Excellent communication skills, with the ability to explain complex ideas simply. Ability to translate business problems into analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer You: Competitive Salary: We re open to tailoring the job offer to fit your skills and experience. Environment: Work from our modern Swindon offices. Growth Opportunities: Be part of an ambitious, fast-growing company. Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork. Workplace pension On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.

Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)

Senior Data Scientist Location: Glasgow Salary: Competitive About Us BiP Solutions are a SaaS business where data is at the core of everything we do. It s not just a function it s our competitive advantage. We are passionate about unlocking the full commercial value of our data to drive smarter decisions, better products, and stronger outcomes for our customers. The Role We re looking for a Senior Data Scientist to play a pivotal role in shaping and delivering our data strategy. This is a high-impact, hands-on position combining deep technical execution with strategic influence across the business. You ll lead key data science initiatives, work closely with stakeholders across commercial, product, and technical teams, and help define how we leverage data as a true business superpower. Alongside this, you will mentor and manage two junior data scientists, supporting their growth and elevating the team s overall capability. Working across the business Reporting into our Director of Public Policy & Research, you will operate across our business, building with internal relationships with our Research & Insights, Technology, Product, Marketing and Sales functions as well as external relationships, with our wider data partners. Given the cross-functional nature of this role, we will look for you to build, maintain, and strengthen trusted relationships across the business, ensuring data solutions are understood, embraced, and drive real commercial value. Key Responsibilities Lead the design, development, and deployment of data science solutions that deliver tangible commercial value Work hands-on ( on the tools ) across the full data science lifecycle, from exploration to production Shape and contribute to the company s evolving data strategy Manage and mentor a team of two Data Scientists Promote best practices in data science, including experimentation, model validation, and reproducibility Communicate complex findings clearly to both technical and non-technical audiences What We re Looking For Proven experience in a Senior Data Scientist or similar role, ideally within a SaaS or data-driven environment Strong hands-on expertise in data science tools and techniques (e.g. Python, machine learning, statistical modelling) Experience delivering data-driven solutions with measurable commercial impact Exposure to or experience with Elastic (Elasticsearch) is highly desirable Demonstrated experience managing or mentoring junior team members Excellent stakeholder management skills, with the ability to influence across multiple functions Strong problem-solving mindset with a proactive, commercially focused approach Why Join Us? Be at the heart of a business where data truly drives decision-making Shape the future of our data capability and strategy Work on meaningful, high-impact projects with real commercial outcomes Opportunity to lead, mentor, and grow a talented data team Collaborative, fast-paced SME environment with real ownership and visibility To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Summary: Join our IT team as a Solutions Analyst and be the essential technical bridge to our Scientific Services department. In this role, you will lead the lifecycle management and development of our ThermoFisher LIMS suite, the digital engine driving our water testing operations. You will work side-by-side with Laboratory Managers and Scientists to translate complex analytical requirements into reliable technical workflows, ensuring every water sample moves accurately from collection to final report. Your work is fundamental to public health and national regulatory compliance. By maintaining a high-performing, integrated LIMS SampleManager laboratory environment, you prevent operational bottlenecks and safeguard the integrity of thousands of daily water quality tests. Your expertise directly enables us to meet Drinking Water Inspectorate (DWI) standards, ensuring a safe and consistent water supply for millions of customers. Main Responsibilities Conduct workshops and one-to-one sessions with laboratory staff to define the business objectives and functional outcomes required for new system enhancements. Design and specify software modules or configuration changes to the ThermoFisher platform to deliver solutions that improve laboratory efficiency and data quality. Develop and implement code changes, ad-hoc queries, and reports to meet the specific analytical needs of the Scientific Services team. Execute rigorous testing protocols on new software modules in accordance with IT policies to ensure "right first time" delivery and regulatory compliance. Analyse the impact of proposed system changes and coordinate the change control process to minimise risk to live laboratory operations. Provide 2nd and 3rd line technical support for reported system issues to resolve faults and maintain the availability of critical testing applications. Train end-users on new system functionality and mentor junior IT colleagues to ensure effective adoption and long-term supportability of the solution. Liaise with third-party suppliers (ThermoFisher) and internal infrastructure teams to implement major software upgrades and troubleshoot complex external defects. Maintain up-to-date technical documentation and manage code revisions to ensure the long-term maintainability and auditability of the system. Participate in the out-of-hours on-call rota to provide emergency technical response for critical system outages affecting 24/7 laboratory operations. You'll need: Skills / Qualifications / Experience Educated to degree level in Computer Science, Information Technology, or a related discipline, or possessing equivalent vocational qualifications and significant operational experience in systems development. Certification in ITIL (Service Management) or relevant software development methodologies (e.g., Agile/Waterfall). Technical proficiency in configuring and customising Laboratory Information Management Systems (specifically ThermoFisher LIMS SampleManager or similar enterprise LIMS platforms). Strong coding skills in languages relevant to the LIMS environment (e.g., VGL, C#, .NET) and experience with scripting for automation. Advanced knowledge of SQL (Oracle or SQL Server). Ability to translate scientific business processes into clear technical specifications and functional designs. Skill in creating precise technical documentation, including change logs, code revisions, and user guides. Proven experience in the full software development lifecycle (SDLC), from gathering requirements through to testing, implementation, and post-go-live support. Experience collaborating with third-party software suppliers (such as ThermoFisher) to manage upgrades, patch deployments, and resolve escalated defects. Practical experience in integrating core business applications with other enterprise systems or laboratory instrumentation. A strong track record of managing software changes within a formal change control framework, ensuring risk analysis is conducted to prevent operational disruption. Experience providing 2nd and 3rd line technical support, troubleshooting complex application errors, and delivering training to non-technical business users We want to be the water company people want to be supplied by and want to work for. We know the communities we serve are diverse. We recognise creativity comes from diversity not similarity. That's why we are enthusiastic about creating inclusion across age, race, gender, ethnicity, religion and identity. You will experience our dedication to equal opportunities and fair treatment for all: through your recruitment, employment and career progression with South East Water. Benefits package: Excellent Stakeholder pension scheme, up to 10% employer contribution. 5 weeks holiday plus bank holidays per annum, increasing to 6 weeks with length of service. Flexible annual leave policy to buy or sell holiday leave. Paid volunteering days. Cycle to work scheme. Health cash plan. Life assurance. Wellbeing related benefits. What can you expect from your recruitment? To apply for this position, please submit your CV on our career's website. It is necessary for you to have the legal right to work in the UK when you begin employment with South East Water. Additionally, as part of the employment offer, you will need to pass background, identity, and employment referencing checks. If this sounds like the opportunity you've been looking for, apply now! South East Water kindly asks that recruitment agencies refrain from submitting CVs to our employees or associates without explicit invitation from our HR Resourcing team. CVs sent on a speculative basis will not be acknowledged and will not assume any responsibility for fees or commissions in the event that we hire a candidate who applied directly or subsequently introduced by an instructed agency. Compensation package: £40,000 - £55,000 p.a. (dependent on experience)

Lead PHP Developer - PHP Laravel/Symfony/CodeIgniter; HTML, CSS, SQL/MySQL, AWS inc AI Search; Javascript Vue.js, React.js; Full Stack/Full Lice Cycle, Professional Services/Finance Systems. Permanent, London (Hybrid 2/3), £130k - £150k (On Experience) +Benefits Lead PHP Developer/Senior Web Developer/Team Lead required by global professional services company. Working on both internal systems integrating with 3rd party systems as well as customer facing web-based systems built in PHP and associated frameworks, you will lead development initiatives within the full life cycle. Working with an internationally dispersed team the Lead PHP Developer/Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within the full life cycle: >>>DevelopmentTestingDeploymentRefactor Develop integrations with internal and external system via APIs Undertake code reviews across PHP, Laravel, Symfony, CodeIgniter, Go/Golang (to a lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React.js and Vue.js) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines Lead and develop team members across software, data, platform, and AI We are open to applications from across industry and varying levels of experience in terms of leadership and project delivery; any experience working within Agile/Scrum would be beneficial. You will however: Possess Senior level, hands-on PHP development experience with both raw OOPHP and at least one main contemporary framework such as Laravel/Symfony, CodeIgniter etc Work within the full stack of web development inc PHP, Javascript, HTML, CSS Be confident in use of various Javascript Frameworks inc Vue.js, React.js (or others) Possess strong database design skills for web-based systems utilising SQL/MySQL Be comfortable deploying enterprise applications within the AWS environment Apply microservices architecture, database design, and rigorous security standards Possess experience working with internal AI platforms as well as (ideally) AWS AI Search Demonstrate experience working within the full life cycle from design to delivery Be capable of leading diverse teams across development, DevOps, AI, Data Science This is an excellent opportunity to join a business at an exciting time of international development and play a key role in the future of its core business systems. Excellent benefits and flexible Hybrid (2 days in office) working conditions offered.

Job Title: Python Software Engineer Job Type: Full-time, permanent, Manchester Salary: Up to £65,000 + 10% Bonus About the business This Manchester based organisation are one of the UK's fastest-growing AI scale up comany's who are on a mission to beacome the market leader in both their specilaist B2B and B2C offerings. They build internal scalable, cutting-edge AI technology that powers a niche area to be the best that it can be. Join them to work on high-impact projects in a collaborative, innovation-driven environment. Role Overview They are looking for a passionate and experienced Python Software Engineer to help design, develop, and maintain robust Back End systems and APIs. You'll work closely with product managers, data scientists, and other engineers to deliver reliable, scalable, and secure software. Key Responsibilities Design, develop, test, and deploy scalable Back End services using Python. Write clean, efficient, and well-documented code. Build and maintain RESTful APIs and integrate with third-party services. Collaborate with DevOps and Front End engineers to ensure seamless delivery. Optimize applications for maximum speed and scalability. Participate in code reviews and contribute to best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills & Qualifications 5+ years of professional experience in Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (eg, PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science or a related field (or equivalent experience). Preferred Qualifications Experience with CI/CD pipelines and test-driven development. Exposure to asynchronous programming (eg, asyncio, Celery). Familiarity with Front End technologies (React, Vue.js) is a bonus. What They Offer Competitive salary and bonus Flexible hybrid working model. Health, dental, and vision insurance. Generous holidays. Professional development budget. A collaborative and inclusive team culture.

Senior Data Scientist Salary: 85,000 - 95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for a Senior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product What's in it for you? 85,000 - 95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.

Data Analyst / Junior Data Scientist 34,000 - 38,000 + benefits Full Time / Permanent Tamworth The Company Akkodis are partnering with a market leading manufacturing company who are looking for a driven Junior Data Scientist / Data Analyst to join their IT development team. This is primarily an office based role based at the head office in Tamworth, West Midlands. The Role The Junior Data Scientist will drive the development and adoption of a data driven decision making culture within the company. The current Software Development team has been building systems and tools for several years, all of which manage the company from an operational point of view. This includes the implementation of bespoke and commonly used tools and platforms such as Power BI, Smartsheet and Dynamics 365 Business Central. The Junior Data Scientist will play a pivotal part in the continued development of these tools alongside the implementation, embedding and deployment of these tools into the day-to-day business processes that drive the company. Key Responsibilities To model datasets and provide data-driven insights to drive business recommendations. To work with internal and external stakeholders to understand and document their requirements. To present and report results of your analysis in accessible and appealing formats, using relevant visualisations. To identify new and innovative ways to analysis and present business data in a way that improves awareness, visibility, acceptance and improvement. To manage and maintain the various reporting platforms used by the company. This includes Power BI, Smartsheet, Dynamics 365 Business Central amongst others. To work with and support the Development team in supporting end users and providing data to their requirements. Skills and Experience At least 1+ year commercial experience working in a similar Data Analyst, Junior Data Scientist or Data Engineer position. Knowledge or experience using software-based data analysis tools such as Excel, Power BI, Reporting Services, SQL or Jet for Business Central . Knowledge of reporting and analysis-based languages such as T-SQL, DAX, Python, R or the principles that they implement. Knowledge of different forms of data visualisation and interaction. The ability to communicate effectively with internal and external stakeholders. Competent in carrying out hypothesis testing & knowledge of statistical methods. Preferably you will be degree qualified in Data or Computer Science or similar or have equivalent experience Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Senior Data Engineer - Sponsorship Offered 65,000 - 72,000 + 20% Bonus + Excellent Benefits London 2-3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.

On behalf of one of our premier clients, we are seeking a high-caliber Cybersecurity Specialist to join their expanding AI & Data Security team. This is a critical role within our client's AI Security programme, designed for a professional who thrives at the intersection of traditional infrastructure security and the emerging frontier of Generative AI. Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Key Responsibilities AI Security Architecture: Design and implement secure deployment patterns and guardrails for foundation models across AWS Bedrock , Azure OpenAI , and Microsoft 365 . Security Strategy: Develop innovative strategies to enhance application security, specifically addressing risks like prompt injection, data leakage, and insecure output handling. Infrastructure Governance: Translate platform-specific risks into actionable engineering patterns, focusing on Network Encryption and Identity Management . Assessments & Audits: Conduct rigorous security assessments and red-teaming exercises on AI-driven applications and AI Agents . Leadership & Mentorship: Lead the team through complex technical decisions, provide high-level problem-solving, and mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Your new company One of the most influential Central Government Organisations in the current economic climate Your new role Data Scientist - SC Cleared - SQL, Python & R What you'll need to succeed My client is looking for an Analytical Data Scientist, leading/working alongside a team of data scientists to deliver key outputs for commissioned projects (use cases). You will also support the development of GSCIP through developing tools, data visualisations, and data available for analysis. You will have the opportunity to work on bespoke data science projects to improve understanding and interpretation of the data, and enhance use case delivery capability. This role can only be offered to candidates with Active and Existing SC or DV Clearance. Essential Criteria: Experience of delivering high-quality coding projects that make use of at least two of: SQL, Python & R Experience of engaging with stakeholders across government to scope and deliver impactful analysis Experience of leading teams through complex data science projects - a track record of delivering complex data science projects on time to meet user needs, and overcoming any challenges A demonstrable commitment to developing your knowledge and expertise Significant technical data science knowledge Desirable Criteria: Understanding of supply chain data sources Experience with Pyspark/Spark SQL Experience delivering interactive visualisations in Python and SQL Graph data experience, including with graph query languages and knowledge graphs Experience working on technical commercial procurements This is a hybrid role at 40% and Monday is a mandatory team day. Successful candidates will join the role asap and interviews are to commence 16/3/26 onwards. What you'll get in return This is an excellent role to join the GSCI Programme as an experienced Data Scientist, ensuring existing delivery and data standards are maintained and services scaled up! What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Azure DevOps Engineer (SC Cleared) London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) DevOps Platform Engineer needed with active SC Security Clearance and strong Azure Cloud expertise including Databricks + Data Factory. 6 Month Rolling Contract based in London. Start ASAP in March/April 2026. Hybrid Working - 2 days/week remote (WFH) + 3 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Azure Databricks Economic Data Platform is critical for Monetary Analysis, Forecasting + Modelling, used by data scientists, developers + economists. In-depth Azure Cloud platform engineering including: Azure Databricks, Data Factory, WebApp Service, API Management + APIOps. Building / maintaining core infrastructure + tooling, Infrastructure-as-Code (IaC), DevOps practices, containerisation + orchestration. Creating a self-service, scalable, and reliable platform that streamlines development workflows, simplifies infrastructure management + enhances productivity. Tools: GitHub Action (preferred), IaC, Terraform, ARM templates, Bicep, CI/CD principles, Github Action, Azure DevOps, Jenkins, GitLab CI. Containerisation + orchestration tools: Docker, Kubernetes, AKS. Scripting skills: PowerShell, Bash, YAML, Python. Configuration management tools: Ansible, Puppet, Chef. Azure Certifications preferred: Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Solutions Architect Expert. SC Security Clearance is essential for this contract.

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

Our motorcycle client based in Bruntingthorpe, Lutterworth is searching for a Business Data Analyst on an Inside IR35, 12-month contract working 37.5 hours a week. The successful professional can be either based in the Leicester or London office where the opportunity provides a hybrid working pattern of 1-2 days onsite, 3-4 days working from home. Umbrella Pay Rate: £30.64 per hour. Job Purpose: Own the end-to-end lead journey through API integrations, data analysis, and cross-functional collaboration to drive scalable lead acquisition, qualification, and conversion. Deliver actionable insights, structured reporting, and optimisation strategies that boost lead velocity, minimise leakage, and maximise ROI across rentals, Reown, and partner ecosystems Key Responsibilities: Lead Journey & API Integration: Own end-to-end flow- from capture to booking- through robust API integrations, ensuring accurate lead attribution, minimal leakage, faster hand-offs, and improved online booking conversion rates. Data Analysis & Lead Insights: Leverage a strong understanding of dashboards to track lead quality, source effectiveness and drop-offs and conversion trends, translating insights into actions that improve lead velocity and ROI. Lead Acquisition & Nurture Strategy: Drive strategies focused on scalable lead generation, qualification and tracking, flow of leads across various stakeholders, optimisations requirement, stakeholder management between teams and nurturing at various stages. Reporting & Governance: Deliver regular, structured reporting on lead flow, SLA adherence, enabling refinement across various stakeholders and lead management tactics. Cross-Functional Collaboration: Collaborate closely with stakeholders like Zapier, Bemycar, MSD to maintain accuracy, efficiencies, lead flow, leakages and identify roadmaps for further improvement. Essential Experience Required: Minimum 3-5 years of experience in data science, API integrations, and performance management. Experience in API integrations and Lead Flow Optimisations. Proven experience in working with data analytics tools, statistical modelling, and data visualization. Experience in cross functional collaboration. Familiarity with how to use Microsoft Dynamics at an expert level. Essential Education Required: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, Marketing, or related field. Postgraduate degree/diploma in Data Science, Analytics, or Digital Marketing or related field is desirable. Preferred Experience Requested: Media Understanding of platforms, dashboard driven decision making. Sound understanding and appreciation of the media landscape and trends. Experience in integrating lead sources via APIs with CRM and booking system. Knowledge of the latest tools & innovative research methodologies. Experience building and using unified dashboards for lead and performance monitoring. Preferred Education Requested: Masters in Business Administration (MBA) / Post Graduate Diploma in Management (PGDM) - Communication, Advertising, Marketing. Certification / Licence / Professional Membership Requested: Certification in data science, analytics, or related field (e.g., Certified Data Scientist, Certified Analytics Professional) is desirable. Experience with data visualization tools like Tableau, Power BI, is a plus.

Software Developer Location: Exeter Contract: 12 months (Inside IR35) Security Clearance: SC clearance required Pay Rate: £625 per day (Umbrella) Hybrid: two days per week to begin with - 1 day after induction About the Role Join a digital team delivering critical weather and observational data to the public through web and mobile applications. You will develop robust, scalable APIs to make the latest science and data accessible to millions of users. This role involves working closely with developers and scientists to build high-quality software, coach junior colleagues, and operate services in production. Key Responsibilities Design, implement, and deliver software that meets user needs Write clean, secure, and well-tested code Follow best practices and contribute to improving them Mentor and coach junior colleagues Operate and monitor the services you build, identifying and resolving production issues Essential Skills & Experience Strong analytical and problem-solving skills Proven experience developing software using AWS and delivering data via APIs Excellent communication skills, adaptable to all levels of stakeholders Self-motivated with the ability to prioritise tasks, meet deadlines, and lead development activities Proficient in Python development Experience with AWS CDK Desirable Skills & Experience Experience with Git or similar source control systems Familiarity with AGILE software development and GDS principles Experience using AI or prompt engineering to support development Knowledge of scientific data formats such as NetCDF, BUFR, GRIB

Data Scientist Salary: 85,000 - 95,000 + Equity Location: London (Hybrid - 2-3 days per week in office) We are currently looking for a Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly into the CTO , this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Lead Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product with a clear path to exit What's in it for you? 85,000 - 95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning / data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps, subscription products or growth analytics Exposure to experimentation / A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.

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

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

We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.