SAS Consultant/Data Engineer
Location: Telford or Worthing (hybrid working 2 days onsite)
Type: Full Time, Permanent
Salary: £50,000 - £70,000 DOE + comprehensive benefits package

Deerfoot Recruitment is working with a major consultancy partner on a long-term public sector engagement and is seeking experienced SAS Consultants/Data Engineers to join a growing data team.
This is a key role within a large-scale data portfolio, supporting critical programmes focused on revenue optimisation, fraud detection, data management and analytics. The successful candidate will play a hands-on role in designing, building and supporting robust SAS-based data solutions, working closely with product owners, architects, engineers and senior client stakeholders.

Key responsibilities include:

• Designing and delivering secure, high-performance SAS solutions for data integration and analytics
• Building and enhancing data pipelines covering ingestion, transformation, reporting and fraud detection
• Supporting live services, incident resolution and continuous improvement
• Collaborating in Agile delivery teams and contributing to engineering best practice

Key skills and experience:

• Minimum 5 years experience as a data engineer or similar role
• Strong background as a Data Engineer on complex, large-scale data platforms
• Proven expertise with SAS 9.x
• (SAS Viya (3.x/4) bonus to have)
• Solid ETL, data modelling and batch scheduling experience
• Understanding of performance optimisation, CI/CD and scalable solution design
• Confident client-facing and consultancy skills

Security Clearance:
This role requires SC clearance, or eligibility to obtain it. Applicants must have lived in the UK continuously for the past 5 years. Some restrictions may apply based on nationality and residency.
This is an excellent opportunity to work on high-impact public sector systems within a collaborative, technically strong environment.

Apply today to find out more.

SAS Consultant/Senior SAS Consultant/SAS Developer/SAS Data Engineer/SAS Programmer/Lead SAS Programmer/SAS Analytics Consultant/SAS Technical Consultant/SAS Solutions Consultant/Data Engineer/Senior Data Engineer/Analytics Engineer/Data Platform Engineer/Data Integration Engineer/Data Pipeline Engineer/Data Solutions Engineer/Enterprise Data Engineer

Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn’t right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Solving real problems with PL/SQL precision and designing ETL processes that unlock the true value of enterprise date.

Work on complex data challenges, modern tooling, and create meaningful technical impact.

Oracle Software Engineer
Circa £38k + Up to 15% bonus
Twice a month in the Southampton area based office

The Role

You’ll join a cross-functional product team that thrives on pace, collaboration, and innovation. Every day, you’ll help shape the data foundations that keep our products and services running seamlessly for thousands of users.

You’ll design and develop clean, efficient, and fully tested PL/SQL code, contributing your expertise to build reliable features that teams rely on.
Working with our established data structures, you’ll turn complex requirements into robust, performant database solutions.

As a key participant in our sprint cycle, you’ll embrace agile ways of working, bringing transparency, adaptability, and continuous improvement to everything you do.

This role would suit

Someone with commercial PL/SQL experience using ANSI syntax and a strong approach to unit testing.

Experience with ETL processes, to handle data with confidence, turning it into reports and transformations that power the business.

Experience with tools and frameworks like Bitbucket, JSON, REST, Confluence, Jira, TOAD, and Scrum

And with skills in Python, Azure DevOps, APIs, or other databases,

Current tech stack includes:

• Oracle, PL/SQL, ETL, Toad,
• Git, Jira, BitBucket, Agile,
• UT PL/SQL (Unit testing framework),
• Azure DevOps, API first,
• MongoDB, PostGres,
• Python

This Oracle Software Engineer role is paying circa £38k with benefits including, 15% Bonus, 25 days holiday, enhanced pension, onsite gym, Car Scheme, healthcare scheme and more.

Apply now or contact Chris Lynes at Spectrum IT for more information.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Dta Scientist, AI, Python, LLM, React, UK, Remote to £80,000 A growing Data Analytics outfit are looking for a Data Scientist as they look to build robust platforms to deliver AI Data insights. They are looking for a Data Scientist who has experience with data heavy products, data science, AI and statistical modelling. You will also have some full stack capability in React or Nod or similar. The successful Data Scientist will be able to lead the engineering direction as they look to grow their team rapidly over the next 12 months. Skills and Responsibilities • Has strong technical depth and can think on their feet when solving complex problems • Has experience with data-heavy products, charts/visualisations, and reporting • Brings some background in data science or statistical modelling • Is highly flexible, entrepreneurial, and excited by a big challenge • Can eventually lead the engineering direction of the product as we grow • Has interest or experience in AI/LLMs, training models, and applied ML • Strong full-stack capability (React, Node.js or similar) • Experience with data-heavy systems, charting libraries, reporting frameworks • Strong exposure to data engineering or data science principles • Understanding of LLMs, model integration, prompt engineering, or model training pipelines • Ability to design and scale real-time data products • Comfortable in a fast-moving startup environment, taking ownership and initiative Candidates with experience at research/analytics companies or AI-driven SaaS platforms tend to be a good fit

Junior / Graduate Data Scientist Our client, a fast-growing and innovative organisation, is looking for a Junior / Graduate Data Scientist to join their expanding data function.

This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test, and support production-ready models using modern cloud technologies.

The Role

You will work primarily with Python, SQL, and AWS (including Amazon SageMaker) to:

• Extract, transform, and analyse data from AWS data platforms
• Perform exploratory data analysis and communicate insights clearly
• Build and evaluate baseline machine learning models (classification & regression)
• Support model experimentation in Amazon SageMaker Unified Studio
• Contribute to model deployment, monitoring, and safe rollout practices
• Follow best practices in Git, code review, testing, and Agile delivery
• Support data governance, documentation, and privacy-by-design principles

This role offers structured mentorship and exposure to data science beyond modelling including productionisation, compliance, and engineering collaboration.

Essential Requirements

• Degree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, Physics, Engineering) or equivalent experience
• Early career stage (graduate, placement, bootcamp, or personal projects)
• Strong Python skills (pandas, scikit-learn)
• Solid SQL skills (joins, aggregations, relational data)
• Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics)
• Clear communication skills
• Strong learning mindset and interest in AWS/cloud technologies
• Comfortable working in a regulated environment

Desirable

• Exposure to Amazon SageMaker
• Experience with Jupyter Notebooks
• Git and basic software engineering practices
• Data visualisation tools (e.g., Power BI)
• Financial services data exposure (risk, fraud, payments)

What s on Offer

• Structured development and mentorship
• Hybrid working model
• Company pension
• days holiday + bank holidays
• Birthday leave, charity day, wellbeing day, wedding leave

Interested? Please Click Apply Now! Junior / Graduate Data Scientist

Newcastle (Hybrid Working)
40,000 - 60,000 DOE

KO2 is supporting a highly regarded robotics and automation business based in Newcastle. The organisation designs and delivers advanced robotic systems deployed across a range of international, real-world applications and continues to invest heavily in R&D.

As part of this growth, the company is seeking a Robotics Software Engineer to join a specialist engineering team focused on the development of intelligent, high-performance robotic platforms. Due to the nature of work successful candidates will be required to achieve SC clearance.

The Opportunity

This role offers the chance to work on complex robotic systems where software directly controls physical hardware. You will be involved in developing control, autonomy, and application-level software, contributing to systems that operate in demanding, real-world environments.

Key responsibilities include:

• Designing and developing embedded and application-level software in C, C++ and/or Python
• Implementing control and motion algorithms for robotic arms, actuators, and sensor systems
• Working within Linux-based development environments and communication frameworks
• Integrating, testing, and validating software on physical robotic systems in both lab and field settings
• Collaborating closely with mechanical, electronics, and systems engineers to deliver complete solutions
• Contributing to autonomy and system architecture, including (where applicable) ROS / ROS2-based development

You will be a software engineer with experience developing software for real-world hardware systems. You enjoy working close to the physical product and are comfortable debugging and improving software on live robotic platforms.

Essential experience includes:

• Proven background in software development for hardware, robotics, or control systems
• Strong proficiency in C/C++ and/or Python
• Experience working in Linux-based environments
• Strong analytical and problem-solving skills

Additional Experience (Beneficial)

• ROS or ROS2 development
• Embedded systems or real-time control
• Robotics, automation, mechatronics, or autonomous systems

Why Consider This Role?

• Competitive salary
• Comprehensive benefits package including private medical, critical illness cover, and enhanced holiday allowance
• Opportunity to work on world-class robotic products with global deployment
• Collaborative, engineering-led culture with strong investment in innovation

To register interest or arrange a confidential discussion, please apply with an up-to-date CV and a member of the KO2 team will be in touch.

KO2 specialises in the embedded and electronics design sector. If this role isn’t right for you but you know someone who may be interested, please let us know - we offer a referral bonus for successful introductions.

Machine Learning Developer (Document AI & NLP)

Duration:6-month contract (FTC/Subcon) role

Hybrid 3 days onsite

Location:Sheffield

The Role

You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support.

Core Responsibilities

• Model Development: Build and iterate on models for content extraction and classification.
• End-to-End Delivery: Support the full software development lifecycle (SDLC), including testing, deployment, and API resilience.
• Collaboration: Work closely with Product Managers and technical teams to translate business needs into scalable AI solutions.
• Innovation: Continuously test and improve existing features using traditional ML and Generative AI.

Technical Requirements

Mandatory Skills:

• Azure Machine Learning: Proven experience within the Azure ecosystem.
• Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models).
• Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP.

Frameworks & Tools:

• ML/DL: TensorFlow, PyTorch, or Hugging Face.
• Processing: OpenCV, Spacy, Regex, and OCR technologies.
• DevOps/Security: Experience delivering secure, resilient code and managing APIs.

Nice to Have:

• Knowledge of PostgreSQL for data management.
• Experience with Azure Kubernetes Service (AKS), Azure CLI, and Azure DevOps.
• Experience in high-cadence production environments.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Do you want to lead groundbreaking research in computational biology? Join us at EMBL-EBI!

EMBL’s European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial intelligence and biology. Women, who are under-represented in our Faculty, are especially encouraged to apply.

About us

EMBL-EBI is a global leader in computational biology and bioinformatics. Our research groups develop and apply computational approaches to answer fundamental and applied questions, ranging from studying how the genome has evolved through to how the microbiome affects our health and environment. Research in the Institute builds and expands upon a variety of methods, from strategies for sequence and image analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific community, providing the building blocks for future technical advances and scientific discovery. Please refer to the EMBL-EBI webpage and the individual group descriptions to learn more about the research currently being done in the Institute.

Scientific context and strategic fit

As well as joining one of the worlds leading computational biology institutes, all of our group leaders are embedded in the multidisciplinary and collaborative environment of EMBL, which provides many opportunities for interaction with other research groups.

EMBLs long-term scientific direction, Molecules to Ecosystems, aims to advance our understanding of ecosystems at the molecular level, applying expertise in molecular biology to study life in its natural context. Research areas include applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to fluctuating environments.

Within this programme, the new AI initiative aims to transform research at EMBL. From the development of new AI methods to their application to mine the worlds largest collection of biomedical data, hosted at EMBL-EBI, to the integration of AI in experimental and observational studies and more generally the scientific process. You will have the opportunity to join this new initiative.

The EMBL-EBI is also deeply embedded in the Wellcome Genome Campus and wider Cambridge environment, which represents an outstanding ecosystem for performing world-leading research in computational life sciences.

Your role

You will establish and lead an independent research group to pursue ambitious and innovative research goals.

To enable your research, EMBL-EBI will provide a generous package of core support, including funding for PhD students, bioinformaticians, engineers and postdoctoral researchers. You will also have access to outstanding computational infrastructure including high-performance clusters and GPU compute, no formal teaching responsibilities, and complete academic freedom.

Your profile

You should have an original and exciting research plan for your future team, which can encompass both biological discoveries and methodological advances. You have an excellent research record in computational biology and a PhD in a relevant field. Alternatively, you have a track-record in machine learning and AI, and interest in applying these to biological questions. A strong interest in interdisciplinary collaboration is essential, and well want you to demonstrate your motivation to work in the EMBL environment.

Key competencies

• Scientific excellence and vision you have the potential to develop groundbreaking ideas and contribute to shaping the future of their field.
• Original and innovative thinking you are curious and intellectually creative to approach important research questions from new and original perspectives.
• Collaborative Mindset you are eager to engage with a diverse community of researchers, willing to step outside of your comfort zone, and open to interdisciplinary exchange.
• Mentoring Skills you are dedicated to nurturing and inspiring people in your team, supported by an inclusive leadership style.
• Leadership Potential and Management Skills you are ready and committed to grow into a leadership role, including learning how to efficiently manage and inspire a research team, adapting strategic planning, coordination, and an environment that fosters inclusiveness.

Why EMBL is an excellent environment for you to become a Research Group Leader

EMBL typically appoints group leaders early in their career and provides everything you need to support this transition to your first independent position and achieve your research goals.

EMBL-EBI research group leaders benefit from:

• Core Funding: Focus on your research with generous, reliable core funding throughout your time at EMBL. The offer includes a competitive yearly research package, core-funded Ph.D. students from our excellent international Ph.D. programme, which allows student intake via the ELLIS PhD programme, & access to competitive post-doc programmes.
• World-Class Resources: Access to world-leading core facilities and infrastructures in molecular biology and in IT, including on-site HPC and multiple channels to scale-out to supercomputing resources.
• Collaborative, Interdisciplinary Environment: Thrive within a network of over 110 independent research groups and service teams across our six sites, covering a broad spectrum of topics in life sciences, including the new AI(at)EMBL initiative. EMBL fosters and supports creative, interdisciplinary and collaborative research.
• Creative Freedom: Enjoy the autonomy and resources to choose your direction of research.
• Well-connected Scientific Hub: Be part of EMBL-EBI, embedded in the thriving research environment of the Wellcome Genome Campus with cross-campus initiatives like Open Targets and many other opportunities for collaboration.
• Networking & Visibility: Engage with hundreds of world-leading scientists coming for each of the many international conferences hosted annually at the Wellcome Genome Campus, as well as the EMBL courses and conference programme on campus and in Heidelberg.
• Data: EMBL-EBI maintains the world’s most comprehensive range of freely available and up-to-date biological data resources.
• Global Excellence: Join a top-ranked research institute promoting discovery-driven science in a collaborative and inclusive environment.

Further information on Group Leader appointments can be found on the Workday career page

If you would like more information about the position: if procedural, please contact Georgina Birchall, Deputy Head of Talent Acquisition, birchall(at)ebi.ac.uk, if on the position itself, please contact Julio Saez-Rodriguez, EMBL-EBI Head of Research.

How to apply

To apply, please submit your research plan with original and ambitious goals for your future team (maximum 4 pages). In your online application, please also upload a cover letter, your CV and the names and contact details of at least 3 referees.

Interviews: Online interviews will be held late April/early May. Onsite interviews will be held in Hinxton, on the 2nd and 3rd July 2026.

Apply now! Benefits and Contract Information

• Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £717per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

• Hybrid working arrangements

• Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

• Generous time off: 30 days annual leave per year, in addition to eight bank holidays

• Relocation package including installation grant (as applicable)

• Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

• Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances

• Contract duration: This position is a 5 year contract renewable up to 9 years

• Salary: Monthly salary starting at£5,982.74after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)

• International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.

• Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.

• Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.

To apply, please submit a covering letter and CV via our online system. Applications will close on 11/04/2026

Location: Portsmouth (hybrid working 3 days on site 2 days from home)
Duration: 12 months duration
Pay: £50.79 ph PAYE + Holiday pay or £68.55 ph Umbrella
Inside IR35

Job Role
Working on the MIMESIS programme in the Simulation & Training function

Typical duties include (but are not limited to):
• Apply a breadth of knowledge, skills and Knowledge of Systems Engineering and company approaches, techniques and governance to design and develop solutions and resolve engineering issues and problems for a range of products and engineering situations, compiling technical reports and accompanying presentations as required
• Apply the Systems Engineering principles of ISO 15288 to the design and build of systems through the entire engineering lifecycle from requirement definition to system integration and customer acceptance into system support and disposal
• Apply the Systems Engineering and Software Engineering principles of ISO 15288 and ISO 12207 to the design of software-based Simulation Systems through the entire engineering lifecycle from requirement definition to system integration and customer acceptance into system support and disposal
• Undertake Simulation Systems equipment design, network design, and software design, including associated performance prediction and installation design
• Work independently under limited technical direction across a range of products and services, resolving common engineering problems
• Discern and decompose requirements to system and sub-system level and manage these in an approved toolset such as IBM DOORS Next
• Undertake system design decomposition and architectural modelling to subsystem level, including associated external and internal interface definition, and manage architectural models in an approved toolset such as CATIA Magic (Cameo)
• Undertake system integration, test planning and execution
• Contribute to definition of acceptance strategies in order to verify requirement compliance at specific levels of system design, supporting production of customer acceptance evidence
• Undertake technical reviews, verification and approval of engineering technical design and documentation in accordance with business, legislative and customer requirements
• Maintain a good working knowledge of contemporary Systems Engineering practices including Model Based Engineering, cyber security, safety procedures, and technologies used to realise simulated environments

Knowledge:
• Knowledge of requirements management (e.g. IBM DOORS Next) and configuration management
• Knowledge of working with large scale complex system designs
• Knowledge of integration of predominantly software-based systems, particularly with Commercial-Off-The-Shelf (COTS) platforms, technology and network functionality
• Knowledge of multiple phases of an engineering lifecycle and good knowledge of lifecycle models (e.g. Waterfall, Agile) and associated tools (e.g. JIRA)
• Knowledge of mathematical simulation tools/languages (e.g. Mathworks MATLAB, Simulink, Pearl, Python, MathCAD)
• Proven Ability of using a high level design methodology (e.g. UAF, NAF, TOGAF, SysML, UML) and the production of associated design artefacts, including documentation
• Knowledge of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, simulated environments, AR/VR, AI/ML, IoT, etc.
• Demonstrates understanding, knowledge and Knowledge of Systems Engineering with a focus on software-based product development including knowledge of appropriate Systems Engineering and Software Engineering standards (e.g. ISO 15288 and ISO 12207 respectively)
• Prior Knowledge of simulation system or system modelling development

Lead PySpark Engineer (Cloud Migration)

Role Type: 5-Month Contract

Location: Remote (UK-Based)

Experience Level: Lead / Senior (5+ years PySpark)

Role Overview

We are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning legacy data workflows into a high-performance AWS cloud environment. This is a hands-on technical role focused on converting legacy SAS code into production-ready PySpark pipelines within a complex financial services landscape.

Key Responsibilities

• Code Conversion: Lead the end-to-end migration of SAS code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring.
• Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS.
• Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness.
• Quality Assurance: Implement clean coding principles, modular design, and robust unit/comparative testing to ensure data accuracy throughout the migration.
• Engineering Excellence: Maintain Git-based workflows, CI/CD integration, and comprehensive technical documentation.

Technical Requirements

• PySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL.
• AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows.
• SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of legacy logic for conversion.
• Data Modeling: Expertise in ETL/ELT, dimensions, facts, SCDs, and data mart architecture.
• Engineering Quality: Experience with parameterisation, exception handling, and modular Python design.

Additional Details

• Industry: Financial Services experience is highly desirable.
• Working Pattern: Fully remote with internal team collaboration days.
• Benefits: 33 days holiday entitlement (pro-rata).

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

A major global financial services organisation is seeking a Lead Engineer to drive the development of cutting-edge Generative AI applications used at scale across the business.

This is a high-impact role where youll lead one of the organisations GenAI feature teams, delivering production-grade AI solutions that enhance operational efficiency for thousands of internal users.

About The Role:

You will design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery.

Key responsibilities include:

• Leading the design and delivery of robust, scalable software using modern engineering frameworks and tools
• Building and deploying AI-driven applications into production environments
• Acting as the technical authority within the GenAI domain
• Collaborating cross-functionally to define requirements and solution approaches
• Driving best practice in code quality, testing, secure development and performance optimisation
• Mentoring and developing engineers, fostering a high-performance culture
• Managing risk, governance and controls within a regulated environment
• Contributing to broader engineering strategy and innovation communities

What Theyre Looking For:

• Strong Python development background
• Hands-on experience working with Large Language Models (LLMs)
• Experience with AWS services such as Bedrock, Lambda, S3, Lex and CloudWatch
• LLM evaluation and prompt engineering / optimisation
• Experience leading or mentoring engineers
• Strong communication skills with the ability to influence technical and non-technical stakeholders

What’s In It For You?

• Competitive base salary and benefits package
• Opportunity to shape enterprise-wide Generative AI capability
• Work on large-scale, production AI systems
• Hybrid working model
• Strong career progression opportunities within a major technology function

Ok I’m In What’s Next?
Please apply with your latest CV

Role: Gen AI Engineer Location: London, UK Duration: Contract Job Description: Your Profile Essential skills/knowledge/experience: Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field.

5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, GenAI etc.

Hands-on experience with fine-tuning/training LLMs and complex Graph RAG solutions (production environment).

Technical Skills: Extensive knowledge of cloud services and tools (Azure & Databricks preferred), ), including Azure Machine Learning, Vertex AI, AI Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service Bus, Azure DevOps, Azure CLI, Azure AI services, App Insights, and Azure OpenAI.

Extensive knowledge of LLM Python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen, graphRag, promptflow

Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio is a plus).

Strong experience with Gen AI model deployment and monitoring (CI/CD, Weight&Biases GitHub pipelines is a plus).

Advanced understanding of security, compliance, and ethical considerations in AI.

Desirable skills/knowledge/experience: Soft Skills: Demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project.

Strong problem-solving abilities. Excellent collaboration & communication skills to report back complex findings in a clear, structured manner.

Certifications: Relevant certifications in AI and machine learning such as Azure AI Engineer Associate are a plus.

TPBN1_UKTJ

Role: Tech lead - AWS Connect AILocation: Luton, UK (Hybrid 3days)Duration: 6+ Months
Roles and responsibilities:Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes.Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines.Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions.Monitor, troubleshoot, and enhance existing automation and AI systems to ensure high availability and performance.Stay abreast of new AWS features and emerging technologies in automation and AI, applying best practices to drive continuous improvement.
Supervisory / Managerial responsibilitiesBachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Proven experience in software engineering with a focus on automation and AI applications.Hands-on expertise with AWS Bedrock, AWS Quicksuite, and AWS SageMaker.Strong programming skills in Python, Java, or similar languages commonly used for AI and automation.Experience in designing and operationalising machine learning models in a production environment.Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting.Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.Familiarity with airline operations or network control systems.Knowledge of DevOps practices and infrastructure as code.Experience with cloud security and data governance.
Core skills:Devops/ Platform Team interaction modelsProduct-aligned Team StructuresSRE and platform engineering concepts

Role: SAP RPA DeveloperLocation: Nottingham, UKDuration: 6+ Months
Roles and responsibilities:1.Design, develop, and implement RPA solutions using SAP technologies.2.Collaborate with business analysts and stakeholders to identify automation opportunities.3.Maintain and support existing RPA solutions, ensuring optimal performance and reliability.4.Conduct testing and debugging of RPA applications to ensure quality and efficiency.5.Document processes, workflows, and technical specifications for RPA solutions.6.Stay updated with the latest RPA trends and technologies, particularly within the SAP ecosystem.
Supervisory / Managerial responsibilities1.Responsible to design and develop SAP RPA Solution and provide guidance to the team2.Regular review of design, build delivery and ensure the solution built is inline with the overall architecture
Core skills:1.Minimum 3+ years of experience in SAP RPA and SAP BTP development or related roles.2.Proficiency in SAP technologies and tools, including SAP Intelligent RPA.3.Strong programming skills in languages such as ABAP, Javascript, UI54.Experience with process mapping and analysis techniques5.Knowledge of SAP BTP Development and Design Concepts (e.g., SAP S/4HANA, SAP Fiori).6.Familiarity with automation frameworks and tools.7.Strong analytical and problem-solving skills.8.Knowledge of SAP AI Capabilities on BTP is desirable

Computer Scientist, Southampton, £35,000 £40,000

• Computer Scientist / Software Engineer / Software Development opportunity within a fast-growing medical device company, developing game-changing rapid diagnostic technology for hospital laboratories.
• Salary guide £35,000 £40,000 depending on experience (some flexibility)
• Flexible working hours, 27 days holiday (increasing by 1 day per year), well-funded MedTech startup environment.

You will be part of a small, highly skilled team bringing a revolutionary technology to market following recent UKCA approval, with UK rollout underway and international expansion planned.

This Computer Scientist job will suit:

• A Computer Scientist or Software Engineer with some experience developing software in a regulated environment (medical devices, aerospace, automotive or similar).
• Computer Scientists familiar with developing software to industry standards as well as structured, test-driven processes.
• Candidates with strong mathematical and statistical skills, who can apply this to to algorithm development.
• Those with a degree in a relevant discipline (2.1 minimum).
• Experience in C/C++, Python, MATLAB or similar languages.
• Self-motivated engineers comfortable working with minimal supervision in a fast-paced startup environment.

This Computer Scientist job will involve:

• Development of software for current and future diagnostic instruments, including middleware, firmware and algorithm development.
• Writing well-documented, maintainable, and test-driven code in line with medical device & industry specific standards (e.g. IEC 62304, ISO 13485, ISO 14971).
• Development and execution of unit, sub-system and system-level test plans.
• Supporting software integration with hardware and electromechanical systems.
• Working closely with internal teams including production, service and commercial teams, as well as external suppliers.

This Computer Scientist jobis based in Southampton and is commutable from Fareham, Portsmouth, Eastleigh, Hedge End, Winchester and surrounding areas.

To apply please send your CV to Sam Hilton at Euro Projects Recruitment Ltd.
Please note that if you are not contacted within ten days, your application has not been successful.

SAS Consultant / Data Engineer
Location: Telford or Worthing (hybrid working 2 days onsite)
Type: Full Time, Permanent
Salary: £50,000 - £70,000 DOE + comprehensive benefits package

Deerfoot Recruitment is working with a major consultancy partner on a long-term public sector engagement and is seeking experienced SAS Consultants / Data Engineers to join a growing data team.
This is a key role within a large-scale data portfolio, supporting critical programmes focused on revenue optimisation, fraud detection, data management and analytics. The successful candidate will play a hands-on role in designing, building and supporting robust SAS-based data solutions, working closely with product owners, architects, engineers and senior client stakeholders.

Key responsibilities include:

• Designing and delivering secure, high-performance SAS solutions for data integration and analytics
• Building and enhancing data pipelines covering ingestion, transformation, reporting and fraud detection
• Supporting live services, incident resolution and continuous improvement
• Collaborating in Agile delivery teams and contributing to engineering best practice

Key skills and experience:

• Minimum 5 years experience as a data engineer or similar role
• Strong background as a Data Engineer on complex, large-scale data platforms
• Proven expertise with SAS 9.x
• (SAS Viya (3.x / 4) bonus to have)
• Solid ETL, data modelling and batch scheduling experience
• Understanding of performance optimisation, CI/CD and scalable solution design
• Confident client-facing and consultancy skills

?? Security Clearance:
This role requires SC clearance, or eligibility to obtain it. Applicants must have lived in the UK continuously for the past 5 years. Some restrictions may apply based on nationality and residency.
This is an excellent opportunity to work on high-impact public sector systems within a collaborative, technically strong environment.

Apply today to find out more.

SAS Consultant / Senior SAS Consultant / SAS Developer / SAS Data Engineer / SAS Programmer / Lead SAS Programmer / SAS Analytics Consultant / SAS Technical Consultant / SAS Solutions Consultant /Data Engineer / Senior Data Engineer / Analytics Engineer / Data Platform Engineer / Data Integration Engineer / Data Pipeline Engineer / Data Solutions Engineer / Enterprise Data Engineer
???

Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn’t right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Job SummaryWe are seeking a Salesforce Architect proficient with Data Cloud and Salesforce Agentforce to spearhead the implementation of autonomous AI agents. You will serve as the strategic advisor for our AI roadmap, translating business needs into agentic solutions that leverage Data Cloud, Einstein AI, and Agentforce Service/Sales Agents.Key ResponsibilitiesStrategic Advisory: Act as the subject matter expert (SME) for Agentforce, providing guidance on platform capabilities, architecture patterns, and best practices.Agent Design & Deployment: Design and build custom Agentforce Agents for autonomous workflows, including intent design, prompt templates, and natural language interactions.Technical Integration: Architect end-to-end solutions that unify Salesforce Data Cloud and Agentforce to ensure agents have the "grounding" data needed for accurate responses.Data Modeling & Strategy: Design data models, pipelines, and transformations for ingestion, harmonization, and enrichment within Salesforce Data Cloud.System Integration: Integrate data from Salesforce Sales/Service Cloud, marketing systems, and external databases to support unified customer profiles.Team Leadership: Lead squads of developers, business analysts, and testers; act as an escalation point for technical issues and mentor the team on prompt engineering.Governance & Testing: Utilize the Agentforce Testing Center to validate agents and track performance metrics to execute iterative improvements.Stakeholder Management: Build strong relationships with executive teams to drive ROI from AI investments. Required Skills & QualificationsCore Salesforce Expertise: Deep understanding of the Salesforce platform, specifically Service Cloud, Data Cloud, and Apex/LWC.AI Specialization: Proven experience with Generative AI, Prompt Engineering, and Large Language Models (LLMs).Technical Proficiency: Extensive experience with Salesforce Flows, OmniStudio, and integration middlewares like MuleSoft. Certifications:oSalesforce Certified Agentforce Specialist (Essential)oSalesforce Certified Data Cloud ConsultantoSalesforce Certified AI Associate or Specialist

About CRH and Tarmac

CRH is a global leader in building materials solutions, and Tarmac is a leading sustainable building materials and construction solutions business in the UK.This role offers an exciting opportunity to drive transformational change through artificial intelligence and automation technologies.

Tarmac is seeking a visionary Senior Manager - AI & Automation to lead the strategy, delivery, and governance of Artificial Intelligence, Generative AI, and RPA across our UK operations.This is a senior, high‑impact role driving measurable value, operational excellence, and industry leadership as we transform how we work through intelligent technologies.

About the Role

In this role you’ll:

Shape and Deliver the AI Strategy

Identify, prioritise, and deliver AI opportunities across plant optimisation, predictive maintenance, computer vision, logistics, forecasting, sustainability, and quality.
Lead end‑to‑end delivery of AI solutions—from idea and prototyping to production and business‑as‑usual service.
Define value metrics and ensure every initiative delivers measurable ROI.
Maximise enterprise platforms such as Microsoft Copilot, Multiply by CRH, SAP Joule, and Salesforce Einstein.
Track emerging AI technologies and position Tarmac as an industry leader.Build Enterprise AI & Automation Capability

Develop and operate AI delivery frameworks: LLMOps, model evaluation, monitoring, RAG, and integration architecture.
Create AI reference architectures, quality standards, and assurance processes including red‑teaming and model drift detection.
Oversee secure OT/IT integration to unlock value from plant, quarry, and IoT data.Strengthen Data, Governance & Responsible AI

Own the AI readiness roadmap including data governance, MDM, security, and enterprise knowledge architecture.
Lead AI FinOps: cost controls, usage telemetry, optimisation, and ROI analysis.
Implement governance aligned to CRH standards, NIST, Cyber Essentials, SOx, ISO/IEC 42001 and data protection requirements.
Ensure safe, transparent, explainable AI with robust controls for agentic systems.Scale Capability & Adoption

Build a blended delivery model of internal experts and specialist partners.
Develop workforce plans for AI product managers, engineers, knowledge engineers, risk specialists, and UX roles.
Lead change, adoption, training, and enablement—including role‑based training and AI champions.
Manage RPA strategy and delivery, ensuring alignment with AI governance and value measurement.Lead Collaboration & Partnerships

Work closely with CRH Group and international partners to leverage global capability.
Partner across IT, Cyber, Compliance, Data and business functions to deliver integrated, secure solutions.
Build strong relationships with suppliers, innovation networks, and academia.Experience & qualifications

To be successful in this role you’ll need:

A proven ability to deliver business value from AI or advanced analytics with measurable ROI.
Experience leading AI solutions from concept to production and BAU.
A developed understanding of AI platforms, LLMOps/GenAIOps, governance, cyber security, and regulatory requirements (NIST, Cyber Essentials, SOx).
To be skilled in data governance, enterprise AI platforms, and scaling innovation into operational services.
Demonstrated ability to lead blended teams and manage strategic partners.
Excellent communication, stakeholder management, and change leadership abilities.
A track record of staying current with emerging technologies.Desirable

Experience with RPA (UiPath), industrial/processing environments, OT data, predictive maintenance, or computer vision.
Familiarity with CRH or large multi‑site organisations.
Knowledge of RAG, agentic AI, enterprise AI tools, and ISO/IEC 42001.Qualifications

A degree in Computer Science, Data Science, Engineering, Business or equivalent experience.
Relevant certifications (AI/ML, data, project management, cyber security) are beneficial.Why Tarmac

We don’t just offer a job, we offer a career.

Alongside this role, you’ll have access to industry-leading rewards, development opportunities, and a culture that puts people first, including:

Bonus scheme
Enhanced holiday entitlement
Contributory pension scheme
Access to the Tarmac Reward website with discounts on retailers, holidays, etc.
Access to our Employee Assistance helpline for free and confidential advice
Access to join our Employee Communities (employee networks) we currently have nine communities inc.(REACH) Religious, Ethnic, Cultural Heritage, LGBTQ+, Parents & carers, Ability, Wellbeing, Female voice and menopause
Training and development opportunitiesWe’re proud to be part of CRH, and even prouder to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.If you need any reasonable adjustments during the recruitment process, just let us know, we’re here to support you.

Ready to build your future?

Click ‘Apply’ to get started. Please note: we sometimes close roles early due to high interest, so don’t wait too long!

#Tarmac #TarmacCareers

Tarmac Trading Limited

UK-Based | Hybrid Working SC Clearable Required Permanent Meraki are working on behalf of a high-growth digital consultancy delivering mission-critical data platforms across the UK public sector. We’re looking for a Senior Data Engineer to design, build and operate modern data pipelines and analytics platforms that power secure, large-scale digital services. This is a hands-on, delivery-focused role within multidisciplinary agile teams. You’ll play a key part in enabling organisations to collect, process and use data effectively — supporting operational reporting, analytics and meaningful insight across complex environments. This role would suit someone who enjoys solving well-defined problems independently, applying strong engineering judgement, and contributing to continuous platform improvement — rather than being tied to one specific technology stack or cloud vendor. The Role You will: \* Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources \* Develop analytics-ready data models to support reporting and operational insight \* Support the full data lifecycle (retention, archiving, decommissioning) in line with governance requirements \* Apply data quality, testing and monitoring best practices \* Translate user and business needs into practical, well-engineered data solutions \* Contribute to shared data standards, documentation and data dictionaries \* Collaborate with cross-functional delivery teams to drive improved data outcomes Technical Experience You’ll bring strong commercial experience across several of the following: \* Modern data engineering patterns (batch and event-driven pipelines) \* Strong SQL and at least one data-focused programming language (e.g. Python) \* Data integration, transformation and orchestration tooling \* Analytical data platforms (data warehouses, lakehouse architectures) \* Applying DevOps and software engineering practices to data (CI/CD, version control, automated testing) \* Working across cloud platforms in a vendor-agnostic way \* Contributing to open-source tooling where appropriate What We’re Looking For \* Operates confidently at senior level \* Comfortable working independently within defined delivery scopes \* Strong communicator — able to explain data concepts to both technical and non-technical stakeholders \* Collaborative, pragmatic and delivery-focused \* Comfortable in customer-facing environments \* Understands secure-by-design and government data principles Security Clearance Due to the nature of the work, candidates must: \* Be eligible for SC Clearance \* Have lived continuously in the UK for the past 5+ years \* Have the right to work in the UK without sponsorship What’s on Offer Competitive salary with annual review Employer pension contribution starting at 5%, increasing with tenure Group life assurance Genuine hybrid working + home setup allowance 25 days annual leave + bank holidays (with buy/sell option) Fully funded professional certifications (AWS, GCP, Agile etc.) 5 days paid study leave + £500 annual personal development fund 1-2-1 coaching and structured career progression Private medical insurance Cycle to Work scheme 2 paid volunteering days per year Inclusive Hiring We strongly encourage applications from individuals who may not meet every single requirement. If you’re excited by the opportunity but don’t tick every box, we’d still love to hear from you

Are you ready to take your career to the next level and be part of an innovative team driving the future of autonomous technology? This company is offering an exceptional opportunity to join their dynamic environment as a Software Engineer — Autonomous Systems. With cutting-edge projects and a focus on delivering world-class solutions, this role is perfect for someone passionate about robotics, artificial intelligence, and machine learning from prototype to deployment. You’ll be working on groundbreaking advancements in uncrewed ground vehicles, contributing to a global leader in the defence sector. This is your chance to make a tangible impact and shape the future of technology.

What You Will Do:

• Work on the development of AI and machine learning solutions for autonomous uncrewed ground vehicles, ensuring self-directed technologies using AI, machine learning, and sensors to perform complex tasks, make real-time decisions, and adapt to changing environments with minimal human intervention.
• Implemnt Computer Vision AI and ML, focusing on algorithm models, data curation, and retraining processes.
• Collaborate with cross-functional teams, including software, hardware, and prototyping specialists, to deliver integrated solutions.
• Plan, schedule, and execute research and development agendas in conjunction with the AI/ML Team Lead.
• Stay ahead of industry trends and advancements, ensuring the company remains competitive and at the forefront of technology.
• Support the definition of project requirements and deliverables, while ensuring timely and high-quality execution.

What You Will Bring:

• Extensive knowledge of autonomous technologies, robotics, and uncrewed systems, with a focus on off-road environments.
• Proven experience in developing and applying AI and ML methodologies, toolsets, and solutions such as Computer Vision
• Strong technical expertise and ability to deliver innovative solutions in the automotive, defence, or transport industries.
• Fluency in English, with excellent communication skills to collaborate across teams and locations.
• Eligible to secure basic levels of security clearance.

As a Software Engineer — Autonomous Systems, you’ll play a pivotal role in driving innovation and excellence in the development of autonomous systems. This company is committed to delivering cutting-edge solutions that meet emerging customer needs and outperform competitors. By joining this team, you’ll contribute to the advancement of robotics and autonomous technologies, ensuring success in a highly competitive industry. Your expertise will be valued, and your impact will be significant.

Location:

This role is based in Nuneaton, Warwickshire.

Interested?:

Don’t miss the opportunity to be part of this exciting journey. Apply now to become a Software Engineer — Autonomous Systems and take the next step in your career. Your expertise and passion could be the key to shaping the future of autonomous technology!

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

Location: UK - Northampton (Hybrid)
6 months

UMBRELLA ONLY

Project Objective:
A key initiative involves migrating from Aerospike to Postgres and leveraging Databricks for back-testing fraud detection models. This role will contribute to the development and integration of Proof of Concepts (PoCs) from the detection backlog.

Key Responsibilities:

• Collaborate with cross-functional teams to architect, design, develop and deliver PoCs related to fraud detection.
• Lead the ETL & Data manipulation/engineering work on AWS.
• Integrate Databricks-based back-testing into the fraud detection pipeline.
• Work closely with architects and other developers to ensure seamless integration with existing systems.
• Participate in weekly stand-up calls to demonstrate progress and align on deliverables.
• Take ownership of tasks from the backlog, ensuring timely and high-quality delivery.

Required Skills & Experience:

• Strong AWS Data Engineering expertise.
• Proficiency in Kafka for real-time data streaming and integration.
• Proficiency with Databricks for data processing and analytics.
• Working knowledge of NodeJS would be an added advantage.
• Solid programming skills in Python, PySpark, Spark.
• Candidate must be adept at working with large-scale datasets, S3, Python, and data cataloguing tools. Familiarity with data engineering best practices is essential.
• Performance and Code Quality - candidate should demonstrate a strong commitment to building high-performance, scalable, and resilient distributed systems, with an emphasis on clean, maintainable, and testable code.
• CI/CD Proficiency - Hands-on experience with CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions, GitLab CI, etc.) for automated build, test, and deployment processes.
• Secure Development Practices - Awareness of secure coding standards, data protection principles, and experience working in regulated environments (especially relevant for fraud detection and financial services).
• Testing Rigor - Strong understanding of unit testing, integration testing, and test automation frameworks (e.g., PyTest, etc.) to ensure code quality and reliability.
• Familiarity with cloud-native development and CI/CD practices.
• Agile mindset with a proactive, developer-driven approach to problem-solving.

Ideal Candidate Profile:

• A hands-on architect & developer with a strong sense of ownership and accountability.
• Comfortable working in a collaborative, fast-paced environment.
• Able to pick up tasks independently, contribute to design discussions, and deliver integrated solutions.
• Strong communication skills to engage with both technical and non-technical stakeholders.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Hybrid: 1-2 days per week in the office (London)
Permanent
£100k-£150k DOE + Bonus + Benefits

Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability.

This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value.

What You’ll Be Doing

• Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business.
• Defining technical standards, best practices and governance for Data Science and MLOps.
• Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams.
• Building, mentoring and developing a high-performing Data Science team.
• Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control.
• Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment.
• Acting as a senior technical authority and thought leader in advanced analytics and AI.
• Championing innovation, experimentation and continuous improvement in AI and analytics delivery.

Experience Required

• Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments.
• Strong Python and SQL skills, with experience developing production-grade analytical solutions.
• Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake).
• Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases).
• Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring).
• Experience leading, mentoring and developing technical teams.

If you’d like to learn more, please contact Jacob Ferdinand at