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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?

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python) We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments. This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks. Key Responsibilities Design and build LLM-powered applications using Python and Generative AI frameworks Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks Engineer scalable AI infrastructure across Azure and GCP environments Implement prompt engineering, model evaluation and LLMOps monitoring Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities Required Skills Strong Python development experience Experience building production LLM or Generative AI applications Knowledge of RAG pipelines, prompt engineering and vector search Experience with agentic AI frameworks (LangGraph, CrewAI or similar) Exposure to LLMOps, model evaluation or monitoring Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP) Desirable Experience Conversational AI or AI assistant platforms Multi-agent architectures Responsible AI, AI ethics or guardrail design Agile / Scrum environments This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms. Apply now to work on cutting-edge generative AI and LLM technologies.

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.

Structural Investigation Data Analyst We are looking for a Structural Investigation Data Analyst to join our team at TRACE who has excellent technical report writing skills to deliver engineering-led insights for structural investigations and infrastructure projects. The role will involve interpreting GPR and NDT datasets. Ideally you will have GPR and NDT experience, if not we will provide training to get you up to speed. This is a fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. If you've also worked in the following roles, we'd also like to hear from you: Reporting Analyst, Engineering Data Analyst, Technical Analyst, NDT Data Analyst, Geophysicists, Civil Engineer, Geophysical Surveyor, Utility Surveyor, NDT (Non-Destructive Testing) Engineer / Technician, GPR (Ground Penetration Radar) Engineer, Geoscientist SALARY: £30,000 to £40,000 per annum + Benefits LOCATION: Fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Structural Investigation Data Analyst to join a specialist consultancy delivering advanced structural analysis and non-intrusive testing insights. As a Structural Investigation Data Analyst you will transform complex datasets from GPR and ultrasonic testing into clear, structured engineering outputs, supporting infrastructure and civil engineering projects. Working remotely, the Structural Investigation Data Analyst will collaborate with consultants and site teams to integrate multi-method data, ensuring accurate interpretation and high-quality reporting. This is a technically focused role offering the opportunity to work on complex investigations and contribute directly to engineering decision-making. ABOUT US TRACE is a specialist consultancy focused on advanced structural investigation and Non-Intrusive Analysis (NIA). We do not operate as a traditional survey company. Our focus is on delivering engineering insight, not just data. Our approach integrates: Ground Penetrating Radar (GPR) Ultrasonic testing and tomography Magnetic corrosion mapping (iCAMM) Targeted intrusive verification where required We work across a wide range of structures, including: Bridges and highways infrastructure Warehouses and industrial assets Tunnels and complex civil structures Reinforced concrete and masonry buildings Our deliverables are digital-first and interpretation-led, including: High-quality CAD outputs Mapped defects and structural features Reports designed to support engineering decisions, not just record data We are a growing, technically driven company, building a reputation for delivering work that goes beyond standard industry outputs. DUTIES Your duties as the Structural Investigation Data Analyst include: GPR Data Processing: Interpret and analyse Ground Penetrating Radar data for concrete structures NDT Analysis: Evaluate datasets from ultrasonic testing methods including pulse echo and tomography Technical Reporting: Produce structured reports, data summaries, and interpretation notes Data Integration: Combine multiple datasets into coherent engineering-led outputs Visual Outputs: Generate annotated scan outputs such as B-scans, amplitude maps, and depth slices CAD Support: Assist in producing CAD-based deliverables where required Collaboration: Work closely with consultants to align outputs with site conditions and objectives Data Interpretation: Translate complex or imperfect datasets into defensible conclusions Quality Assurance: Maintain high levels of accuracy, consistency, and attention to detail CANDIDATE REQUIREMENTS ESSENTIAL Proven experience of technical report writing and structured documentation Strong ability to interpret complex datasets and produce clear outputs Excellent attention to detail and data handling accuracy Comfortable working remotely within a collaborative, digital team environment DESIRABLE Previous experience in GPR data processing and interpretation within structural or concrete environments Experience with ultrasonic testing methods such as UPV, pulse echo, or tomography Experience supporting or producing CAD outputs Exposure to multi-method non-destructive testing (NDT) investigations Understanding of structural behaviour and common concrete defects BENEFITS £30,000 - £40,000 per annum depending on experience 25 days annual leave, plus bank holidays. Fully remote working model Opportunity to work on complex structural investigations A technically focused role with clear impact on final deliverables Opportunity to grow within a specialist, expanding consultancy NO AGENCIES PLEASE HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. JOB REF: AWDO-P14541 This job is being advertised by AWD online on behalf of TRACE Structural Investigations

The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.

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.

You will be responsible for: Designing, implementing, and maintaining scalable data pipelines and ETL processes Developing and optimising databases and data storage solutions for structured and unstructured data Collaborating with data scientists and analysts to deliver reliable, high-quality data for analytics and reporting Ensuring data quality, integrity, and compliance with security and governance standards Supporting the adoption of best practices for data engineering and contributing to technical decision-making Candidates should demonstrate: A BEng/BSc or Master's degree in Computer Science, Data Engineering, Mathematics, or a related discipline Strong programming skills in languages such as Python, SQL, and Java or Scala Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Expertise in building and maintaining ETL pipelines and data workflows Familiarity with cloud data platforms (AWS, Azure, GCP) and data pipeline orchestration tools (Airflow, Prefect, etc.) Understanding of data modelling, schema design, and performance optimisation Experience with agile development methodologies, including Scrum and Kanban Familiarity with version control tools such as Git Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: Design and implement pipelines for training, evaluating, deploying, and monitoring detection models Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows Collaborate with backend and product teams to define integration requirements for trust detection services Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring Uphold strong standards around testing, observability, and operational excellence Contribute to a scaling engineering culture where experimentation and measurable outcomes are central Your Skills and Experience Strong commercial experience building and deploying ML pipelines in production Experience with asynchronous ML inference pipelines Deep understanding of end-to-end ML workflows from research through to deployment Ability to operate with ownership in complex, fast-moving environments Strong communication skills for working with both technical and non-technical stakeholders Experience designing systems within modern cloud environments such as AWS or GCP Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.

We are seeking a Software Engineer with strong C++ skills to join a small, highly technical development team. This role offers the opportunity to work on sophisticated software that controls high-precision hardware systems and performs complex image analysis. You will collaborate closely with engineers and scientists to design and deliver integrated hardware and software solutions. What you'll do Develop Windows desktop applications using C++ and .NET Design, implement and test software for high-precision systems and imaging platforms Work closely with hardware engineers and technical specialists Contribute to software architecture, planning and agile development Write automated tests and support system validation Occasionally assist with system installation and configuration What we're looking for 2-4+ years of software development experience Strong C++ development experience (essential) Experience with .NET (VB.NET) / WinForms or similar desktop frameworks Degree in a STEM discipline Strong problem-solving and mathematical skills Ability to work effectively in a small collaborative engineering team Desirable experience Multi-threading or concurrent programming Image analysis or data modelling 3D geometry or mathematical modelling Git and automated testing Embedded systems or hardware control Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.

Structural Investigation Data Analyst We are looking for a Structural Investigation Data Analyst to join our team at TRACE who has excellent technical report writing skills to deliver engineering-led insights for structural investigations and infrastructure projects. The role will involve interpreting GPR and NDT datasets. Ideally you will have GPR and NDT experience, if not we will provide training to get you up to speed. This is a fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. If you've also worked in the following roles, we'd also like to hear from you: Reporting Analyst, Engineering Data Analyst, Technical Analyst, NDT Data Analyst, Geophysicists, Civil Engineer, Geophysical Surveyor, Utility Surveyor, NDT (Non-Destructive Testing) Engineer / Technician, GPR (Ground Penetration Radar) Engineer, Geoscientist SALARY: £30,000 to £40,000 per annum + Benefits LOCATION: Fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Structural Investigation Data Analyst to join a specialist consultancy delivering advanced structural analysis and non-intrusive testing insights. As a Structural Investigation Data Analyst you will transform complex datasets from GPR and ultrasonic testing into clear, structured engineering outputs, supporting infrastructure and civil engineering projects. Working remotely, the Structural Investigation Data Analyst will collaborate with consultants and site teams to integrate multi-method data, ensuring accurate interpretation and high-quality reporting. This is a technically focused role offering the opportunity to work on complex investigations and contribute directly to engineering decision-making. ABOUT US TRACE is a specialist consultancy focused on advanced structural investigation and Non-Intrusive Analysis (NIA). We do not operate as a traditional survey company. Our focus is on delivering engineering insight, not just data. Our approach integrates: Ground Penetrating Radar (GPR) Ultrasonic testing and tomography Magnetic corrosion mapping (iCAMM) Targeted intrusive verification where required We work across a wide range of structures, including: Bridges and highways infrastructure Warehouses and industrial assets Tunnels and complex civil structures Reinforced concrete and masonry buildings Our deliverables are digital-first and interpretation-led, including: High-quality CAD outputs Mapped defects and structural features Reports designed to support engineering decisions, not just record data We are a growing, technically driven company, building a reputation for delivering work that goes beyond standard industry outputs. DUTIES Your duties as the Structural Investigation Data Analyst include: GPR Data Processing: Interpret and analyse Ground Penetrating Radar data for concrete structures NDT Analysis: Evaluate datasets from ultrasonic testing methods including pulse echo and tomography Technical Reporting: Produce structured reports, data summaries, and interpretation notes Data Integration: Combine multiple datasets into coherent engineering-led outputs Visual Outputs: Generate annotated scan outputs such as B-scans, amplitude maps, and depth slices CAD Support: Assist in producing CAD-based deliverables where required Collaboration: Work closely with consultants to align outputs with site conditions and objectives Data Interpretation: Translate complex or imperfect datasets into defensible conclusions Quality Assurance: Maintain high levels of accuracy, consistency, and attention to detail CANDIDATE REQUIREMENTS ESSENTIAL Proven experience of technical report writing and structured documentation Strong ability to interpret complex datasets and produce clear outputs Excellent attention to detail and data handling accuracy Comfortable working remotely within a collaborative, digital team environment DESIRABLE Previous experience in GPR data processing and interpretation within structural or concrete environments Experience with ultrasonic testing methods such as UPV, pulse echo, or tomography Experience supporting or producing CAD outputs Exposure to multi-method non-destructive testing (NDT) investigations Understanding of structural behaviour and common concrete defects BENEFITS £30,000 - £40,000 per annum depending on experience 25 days annual leave, plus bank holidays. Fully remote working model Opportunity to work on complex structural investigations A technically focused role with clear impact on final deliverables Opportunity to grow within a specialist, expanding consultancy NO AGENCIES PLEASE HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. JOB REF: AWDO-P14541 This job is being advertised by AWD online on behalf of TRACE Structural Investigations

Data Scientist - SC Cleared We are supporting a government department in a GDS environment with the appointment of an SC-cleared Data Scientist to join a high-performing technology team. This role requires strong hands-on experience across Google BigQuery , DataForm , JavaScript procedures , Python , statistics , and data modelling . You will work with complex datasets to build analytical models, transform and structure data, and generate insight to support operational and strategic decision-making. Key responsibilities: Build and maintain analytical and data models Use BigQuery to query, manage, and optimise large datasets Develop data transformation workflows using DataForm and JavaScript procedures Apply Python for analysis, modelling, and automation Use statistical techniques to identify patterns, trends, and insights Translate business questions into clear analytical outputs Work closely with technical and non-technical stakeholders in an agile delivery environment Required experience: Active SC clearance Strong experience in a Data Scientist or similar analytical role Hands-on use of Google BigQuery Experience with DataForm Strong Python capability Good understanding of statistics and data modelling Desirable: Government or public sector experience Experience in a GDS environment Exposure to large operational datasets

Job Title - Senior Data Manager Location - Manchester, UK Type - Contract Job Description: About the role The Trips Data Governance team manages data for all aspects of trips, excluding stays, enabling teams to understand and improve business performance and customer experience. They are currently seeking an experienced Data Manager to join their impactful Data Governance team to support the critical SAP Rise migration program. About the SAP Rise program: The programme is a key business modernisation initiative to migrate the current Booking Transport (BTL) SAP instance to a standardised cloud-based ERP system. The programme will introduce an interim architecture between the current platform and the SAP S/4 RISE ecosystem to test processes, data quality and governance, data contracts, and new capabilities, while supporting the transition to the North Star architecture where data flows directly from a modernised enterprise order platform. Role Overview: In this role, a Senior Data Manager combines technical knowledge, business insight, and expert communication to provide critical information about data systems. This position focuses on supporting business needs with high-quality data through monitoring, issue detection, impact quantification, end-to-end data corrections, standardization, and architectural optimization. A key aspect of the role is to advocate for a Data Quality mindset across the organization. You will report to a Senior Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance. This is a hands-on role where you will work closely with Business Analysts, Data Engineers, Data Scientists, and Insights Analysts to build deliverables required for the SAP Rise program. Roles & Responsibilities As a Senior Data Manager I (Level G), your required competencies include: Independence in: AI & Ethics: Independent in ethical data handling, responsible AI, compliance, knowledge & prompt engineering, and AI application in Data Management. Change & Project Mgt.: Independent in change management, planning, monitoring & delivery, stakeholder management, and DQ implementation. Critical Thinking: Independent in decision making, and DQ - investigate & resolve. Data & Info. Management: Independent in MDM integrations, MDM policies, document & content lifecycle, document & content classification, data risk identification, data risk decision, data risk mitigation, metadata management, and data lifecycle management. Effective Communication: Independent in communication basics, cross-cultural relationships, and tailored messaging & motivational communication. Privacy & Security: Independent in high-pressure communication, regulatory knowledge, vulnerability & mitigation, and compliance-by-design. Software & Analytics: Independent in coding, visualisation, and Data Mgt. Adoption. Stewardship: Independent in identification & training. Strategy & Policy: Independent in data management strategy, policies, standards & playbooks, and maturity model & assessment. Solution Design: Independent in solution requirements. Expertise Critical Thinking: Expertise in root cause analysis. Data & Info. Management: Expertise in MDM requirements. Software & Analytics: Expertise in analysis (both listed entries), Data Mgt. Integration, and DQ Dimensions & Rules. Solution Design: Expertise in solution monitoring & iteration. Stewardship: Expertise in advocacy & support. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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

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 Scientist - Optimisation & Operations Research North West London (Hybrid, 3 days on-site) 550 - 750 /day The Opportunity We're recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience