Lead Data Platform Specialist - Up to 85k + c.15% Bonus

Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.)

My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform.

You need to have strong experience working with Databricks

You’ll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn’t just about coding - you’ll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus.

Key Responsibilities:

• Build and maintain the Data Lakehouse platform in a secure Azure environment
• Develop automation for cluster management, integration runtimes, and networking
• Lead architectural design and ensure platform scalability, reliability, and governance
• Write efficient, maintainable code in PySpark, Python, and SQL
• Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM
• Collaborate with data engineers, architects, and business stakeholders
• Mentor and coach engineers, fostering a culture of learning and excellence

Essential Skills:

• Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture
• Strong solution architecture and data platform engineering skills
• DevOps and automation expertise, including CI/CD, monitoring, and code quality
• Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning
• Excellent communication and mentoring skills

It’s not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You’ll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday.

This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You’ll be shaping the future of their data platform while collaborating with a talented and diverse team.

To apply, please submit your CV as we are looking to move quickly on this role.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Principal Software Engineer – AI & Innovation

Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries.

Within the newly createdAI & Innovation team, you will shape the future of the organisation’s products through cutting-edge technology, experimentation and creative thinking.

A truly exciting opportunity to influence and create something new.

Key Responsibilities

Build innovative MVPs to validate ideas and accelerate learning

Lead the design and implementation of scalable, high-performance software systems

Collaborate closely with Product, Design, QA, and Engineering teams

Evaluate, experiment and recommend new technologies, frameworks and tools

Mentor and coach engineers to create a culture of innovation and continuous improvement

Oversee code reviews and ensure delivery of high-quality maintainable software

Troubleshoot and resolve complex technical challenges

Contribute to strategic planning and align technology decisions with business goals

Essential Skills

Significant experience in a senior software engineering position

Proven experience delivering innovative AI solutions

Practical knowledge of AI, including building and training LLMs

Strong understanding of Microservices and modern web architectures

Deep expertise in programming languages and frameworks such as Java and Spring Boot

Extensive experience designing large-scale systems

Strong knowledge of AWS cloud architecture and services

Excellent problem-solving skills and a results-driven mindset

Experience mentoring and guiding technical teams to deliver

Desirable Experience

DevOps practices and CI/CD pipelines

Secure-by-design development and security best practices

Contributions to open-source projects

TPBN1_UKTJ

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.

Company Description

Established in 1987, QBS Software provides a platform for software companies and channel resellers to increase efficiency and achieve growth. We are a technology company with a focus on software covering the enterprise, cloud and consumer markets. QBS has been named in both the annual Sunday Times HSBC International Track 200 showing significant annual compound growth, and the London Stock Exchange 1000 companies to inspire Britain.

The group is headquartered in London with 7 regional offices across Europe, has recently become B Corp accredited for meeting high standards of social and environmental performance, and is also independently certified by Planet Mark as net carbon neutral.

Where great people work together we are looking for ambitious co-workers to take our business to the next level, and as an equal opportunities employer, we are committed to creating an inclusive and equitable environment for all our employees. We believe we are stronger when we reflect the diversity in the world around us, making us more dynamic, more innovative and more competitive.

Position

As a Senior Business Central Developer, you will play a vital role in developing & implementing the Business Central ERP platform for the global QBS business and all its entities, leveraging your development skills to provide customisations and enhancements to the Business Central ERP system and the Power platform for D365 Sales/Customer Service & Marketing Insights. You will have the opportunity to work closely with internal stakeholders to develop innovative solutions and contribute to the success of the Group ERP & CRM system. This role will become a key part of the global Change Advisory Board to agree a development roadmap.

What You’ll Be Doing:

• Providing second line Business Central support to users in multiple countries.
• Collaborating with Key Users & Users to understand their business requirements and provide guidance on utilising the system’s features and functionalities.
• Developing customisations and extensions using AL within the Business Central environment, adhering to best practices and coding standards.
• Developing customisations within the Power Platform to support the enhancement of the D365 Sales, Customer Service & Marketing environment
• Conducting code reviews and ensure the quality and efficiency of the developed customizations.
• Collaborating with cross-functional teams, including developers, consultants, and project managers, to deliver high-quality solutions to stakeholders.
• Documenting technical solutions, issues, and resolutions for internal knowledge sharing and future reference.
• Staying up-to-date with the latest trends and technologies related to Business Central.
• Assisting in the testing and deployment of software updates, patches, and new releases of the ERP system.
• Ensuring adherence SLAs & OLAs and provide excellent customer service to internal & external stakeholders

Requirements

What You’ll Bring:

• At least 8 years experience in a Business Central developer role.
• Strong experience in troubleshooting issues in Microsoft Business Central.
• Proficiency in AL programming language with hands-on experience in developing customisations and extensions within Business Central v20 & later.
• Experience enhancing & developing D365 Sales, Customer service and customer insights.
• Proficiency in developing in the Microsoft Power Platform.
• Solid technical experience & understanding of API integration (REST, SOAP, JSON/XML)
• Developing EDI or B2B trading workflows
• Solid understanding of SQL databases and ability to write efficient database queries.
• Strong problem-solving and analytical skills to identify and resolve technical issues effectively.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Detail-oriented with a strong commitment to delivering high-quality work.
• Ability to manage multiple priorities and work efficiently in a fast-paced environment.
• Experience with Collaboration & development tools such as Jira, Github, Azure devops or similar for issue tracking, version control and release management.

Preferred Skills:

• Knowledge of SSRS & PowerBI would be beneficial but not essential.
• Solid understanding of SQL databases and ability to write efficient database queries
• Experience with integration/middleware platforms (e.g. Boomi)
• Understanding of software development methodologies and best practices.

Other information

Benefits:

• £70,000 per annum
• KPI quarterly bonus scheme
• Excellent contributory pension scheme
• Private Medical Insurance
• Healthcare scheme
• Cycle to work scheme
• Life cover
• Online retail discounts
• Full training and development programme
• Mentoring opportunities
• Opportunities for promotion and career progression

Our Commitment to Inclusion:

At QBS, we believe diversity isnt just a box to tick, its the engine that drives innovation, creativity, and growth. Were building a culture where everyone belongs, every voice is heard, and every perspective is valued.

We welcome people of all backgrounds, experiences, and identities, because we know that different ways of thinking make us stronger. Whether youre starting your career or bringing decades of experience, what matters most is your passion, potential, and willingness to make an impact.

Are you passionate about Artificial Intelligence and ready to lead from the front? Were looking for a Lead AI Engineer to join our AI and Data Practice at Sopra Steria. This is a hands-on leadership role where youll combine technical expertise with line management responsibilities, guiding and developing a talented team while shaping the future of AI solutions.

Youll work on cutting-edge projects, applying innovative AI technologies to solve complex business challenges. Alongside this, youll mentor and coach engineers, fostering a collaborative, high-performing environment.

We offer great career progression opportunities, flexible benefits, and the ability to work from anywhere in the UK, with only occasional travel for client or team meetings.

What youll be doing

Leading the delivery of advanced AI and agent-based solutions.

Managing and developing a team of engineers, providing hands-on line management and support.

Coaching and mentoring junior engineers, promoting best practice and growth.

Communicating complex AI concepts to technical and non-technical stakeholders.

Managing project delivery to ensure outcomes are on time, within budget and to quality standards.

Applying MLOps practices to address risk and technical debt.

Staying up to date with advancements in AI, agent architectures and emerging best practices.

What youll bring

Proven experience in line management and team leadership within a technical environment.

Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents.

Strong programming skills in Python, Java or .NET.

Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search.

Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot.

Knowledge of cloud-native engineering techniques for scalable AI deployment.

If youre interested but not sure if your skills match every requirement, please apply wed love to hear from you!

Employment Type: Full-time, Permanent

Location: UK Wide (occasional travel for client or team meetings)

Security Clearance Level: SC Eligible

Salary: Up to £90,000

Internal Recruiter: Annecia

Benefits : £5,400 car allowance, 25 days annual leave with the option to buy additional days, private medical, life assurance, pension, and a generous flexible benefits fund.

We believe flexibility at work promotes balance and productivity. If you need to work flexibly, talk to us were happy to explore whats possible.

Loved reading about this job and want to know more about us?

With a long history of delivering transformation, we’ve developed a market-leading partnership ecosystem to provide business services of the future and shape valuable, positive outcomes for communities. We empower our clients by providing innovative solutions and commercial models that help them meet their business needs, drive operational efficiencies, and deliver impactful value creation. We remain committed to values of excellence, empathy and respect to produce transformative outcomes in business processing creating value for all.

We embrace difference as a source of creativity, innovation and competitive advantage and are striving to become a more diverse organisation. We welcome applications from people with a diverse variety of backgrounds and identities. We are committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. We havepartnered with Vercida , the UK’s largest diversity and inclusion focused careers site, where all our vacancies are available in an accessible format. If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us knowwhen completingyour application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability, who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.

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Cybersecurity Specialist - AI & Data Security

Client & Project

We are seeking a talented Cybersecurity Specialist to join the AI & Data Security team, where you will contribute to the delivery and ongoing evolution of the organisation’s AI Security programme.

Role Overview

As a Cybersecurity Specialist, you will bring hands-on experience with leading AI technologies and platforms-primarily AWS Bedrock, Azure OpenAI, Microsoft 365, and other foundation model providers-to support teams in adopting these capabilities securely and effectively.

You will provide guidance on model security, deployment patterns, guardrails, integration architectures, observability, evaluation techniques, and safe operationalisation across a wide range of business use cases. You will translate platform-specific risks, limitations, and best practices into actionable engineering patterns and governance controls.

In this role, you will act as a subject matter expert, collaborating with and supporting the wider team to ensure high-quality outcomes. You will influence key decisions, engage with multiple teams, and provide practical solutions to technical and security challenges across the organisation.

Required & Recommended Proficiencies

• Master proficiency (required): Network Encryption
• Expert proficiency (recommended): Secure AI
• Master proficiency (suggested): Microsoft Azure Active Directory Security
• Intermediate proficiency (suggested): AI Agents, Amazon Bedrock, Microsoft Azure AI Foundry

Key Responsibilities

• Develop innovative security strategies to enhance application and AI security.
• Conduct regular security assessments and audits to identify vulnerabilities and recommend remediation.
• Collaborate with cross-functional teams to ensure secure design and implementation of AI and digital solutions.
• Stay up to date with emerging security trends, technologies, and threat landscapes to inform architecture and governance decisions.
• Mentor and support team members on secure application design, AI security principles, and best practices.

Skills

Master proficiency in Network Encryption is required; expert proficiency in Secure AI is recommended.Master proficiency in Microsoft Azure Active Directory Security, with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is preferred.

DeFi space

Remote: (HQ: Singapore)

£150k-200k

Plexus has another great opportunity with one of our long-term clients within the DeFi space. This is a great opportunity to join a fast growing startup building core infrastructure for decentralised finance.

They are looking for a solidity engineer to design and ship secure, production grade smart contracts that will power high value financial products like stablecoins, liquidity infrastructure, and DeFi protocols.

Role:

• Design, develop, and maintain advanced Solidity smart contracts
• Contribute to protocol architecture, design patterns, and technical direction
• Write unit, integration, and fuzz tests using Foundry or similar frameworks
• Optimise and debug smart contracts for gas efficiency,performance,and security
• Collaborate with product and backend teams to deliver features

Requirements:

• 3+ years of Solidity development experience with production smart contracts
• Experience working on stable coins
• Experience shipping audited contracts and mainnet deployments
• Understanding of EVM, Defi primitives, and protocol mechanics
• Solid knowledge of common smart contract vulnerabilities and mitigations

Benefits:

• Competitive Salary
• Fully remote work
• Token equity upside
• Build core DeFi infrastructure used by real users
• Well funded startup with strong backing

If youre interested, please reach out by clicking the Apply button.

Assurance Product Owner, Product Specialist, Knowledge Management, Audit Technology, Fintech, Heavily Regulated Background ESSENTIAL, AI, Mainly Remote with Global Travel

Assurance / Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions it will be bi-monthly travel for team collaboration), you will be reimbursed for your travel and accommodation.

This Product Owner will have an Assurance (Technology and / or Business) first background, who understands how to navigate through hardened Dev Teams. Ideally you will have experience with Knowledge Managementand you will have a passion for, and experience with AI.

We need someone who thinks like this:

How do I bring a Product into the AI Agentic World

How would I plan to imbed AI Agents?

With something as complex as this, in terms of the sheer amount of Knowledge Management information involved, how would I plan to tag the agents with the right amount of knowledge?

How do I communicate this to the business, ready for launch?

Coming from a heavy regulated environment such as Accounting, Financial Services, Fintech, Legal, Assurance, Insurance etc is ESSENTIAL. You must have experience with firm with solid governance, compliance and regulatory boundaries.

In summary Assurance first, along with Knowledge Management experienceand experience with AI. A Product Owner exposure in a heavily regulated environment and a fantastic attitude. This is simply what we essentially need here. Being part of products in the B2B world, or part of big, significant internal, highly regulated products. You will also be able to give strong examples of success in topics such as handling last minute changes to priorities, along with a proven ability to deliver key solutions.

As this has global coverage, there may be some early / late calls. You must be prepared for this. There will be give and take with times, along with some flexibility if things are becoming quite taxing. However, we want someone dedicated and definitely not someone who wants a hardened 9am 5pm kind of position!Read on for more details

Experience required:

At least 3 years experience as a Product Owner in a complex, professional global environment

Assurance (technology and / or business) first background with an understanding of how to navigate through development teams

AI experience where you have preferably launch AI related products, or at least had them ready for launch

Understanding of Agentic AI, along with how to set up AI agents

Experience of communicating with 3rdParty suppliers, along with knowing how to get the best out of them

Global experience is preferred with the appreciation this is Global coverage, sometimes working outside of a standard 9am to 5pm structure

Strong Knowledge Management experience with a passion for new technologies

Knowledge of developing, analysing and designing digital products and software applications

Strong stakeholder management skills at all levels with excellent communication skills both verbal and written

Strong understanding of Agile

Proactive self-starter capable of managing multiple priorities in a face-paced environment

Knowledge of MS Office productivity, communication & collaboration technologies

Effectively demonstrate teamwork skills, problem solving skills, initiative and integrity

Excellent English language proficiency and good interpersonal communication skills

This is an excellent opportunity and salary is dependent upon experience. Apply now for more details

Geospatial Data Engineer - Contract
Remote UK
£420 per day
12 Months - the entirety of 2026 into 2027
Deemed Outside IR35 (pending QDOS assessment)
This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple’s impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies.
You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment and must have experience of RASTER data sets.
In this role, you will be:

• Developing ETL pipelines - Raster, Vector, Tabular data
• Configuring CI/CD pipelines
• Managing data storage within an AWS environment
• Improving data automation, workflow and efficiency
• Developing Python based ML pipelines

Key skills for this role include:

• Good knowledge of Python programming
• Experience in cloud computing (ideally AWS)
• Strong experience across industries in both Geospatial and non-Geospatial domains
• Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps)

Preferred Experience:

• Experience with frameworks like Metaflow, Prefect, etc.
• Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

Head of Engineering & AI

Location: Remote (with occasional travel to office or client sites)
Type: Permanent
Salary: £90,000 - £100,000

We’re looking for a Head of Engineering & AI to take ownership of our engineering, test automation, and AI-led product capability. This is a senior leadership role where you’ll shape strategy, lead high-performing engineering and QA teams, and drive the development of automation frameworks, products, and services used across multiple client environments.

What You’ll Be Doing

Leadership & Strategy

• Lead and mentor Product Managers, Developers, and QA Automation Engineers across client-facing and remote teams
• Set the technical direction for engineering, automation, and AI initiatives
• Act as the senior escalation point for automation, QA, and engineering delivery
• Define best practices, standards, and documentation for automation services

Automation & QA Excellence

• Own and evolve automation strategies, frameworks, and service offerings
• Ensure automation coverage across UI, API, performance, accessibility, compatibility, and security testing
• Design and maintain reusable templates (e.g. automation strategies, reports, frameworks)
• Support automation assessments, proof-of-concepts, and delivery engagements
• Champion best-in-class tooling and methodologies across CI/CD pipelines

Engineering Products & R&D

• Own and develop the engineering and automation product roadmap
• Lead continuous improvement through AI-driven testing and modern automation approaches
• Design and maintain demo and proof-of-concept environments

Business Development & Partnerships

• Support bids, proposals, pilots, and client demonstrations
• Build business cases highlighting the value of automation and AI
• Develop and manage strategic partnerships with tooling providers

Leadership & Delivery

• 5-7+ years leading QA automation engineers, developers, or engineering teams
• Experience managing distributed, onshore, and offshore teams
• Strong strategic thinking with the ability to translate business needs into technical solutions
• Proven experience building product roadmaps and automation strategies

Technical Experience

• Strong background in modern test automation frameworks and tools (e.g. Selenium, Playwright, Cypress, Appium, Postman, Rest Assured, JMeter, BrowserStack, Sauce Labs)
• Experience implementing automation within CI/CD pipelines
• Hands-on coding experience (Java, .NET, React or similar)
• Exposure to AI-driven testing and evaluation of AI solutions

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.

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

We have a current opportunity for a Foundry AI Engineer on a contract basis. The position will be based in Egham. For further information about this position ple

AI Engineer - Contract Role

I am working with a university that is looking for an AI Engineer with experience in AI Foundry to support the implementation of a number of new use cases.

This is a remote contract for approximately three months.

The role is outside IR35, with a start date planned for early to mid‑March.

Job Description

Title: AI Engineer
Contract: 3 months
Location: Remote
IR35 Status: Outside IR35
Start: Early to mid‑March

Overview
The university is delivering a series of AI initiatives and requires an AI Engineer with hands‑on experience in AI Foundry to support the design, build, and deployment of AI use cases across the organisation.

Responsibilities
* Work with stakeholders to understand business requirements and translate them into AI use cases.
* Build, deploy, and optimise AI models within AI Foundry.
* Develop pipelines, workflows, and integrations needed to operationalise AI solutions.
* Work closely with data teams, product teams, and technical leads to ensure successful delivery.
* Troubleshoot issues and ensure models perform effectively in a production environment.
* Provide documentation, knowledge transfer, and support the internal team throughout delivery.

Requirements
* Proven experience as an AI Engineer or similar role.
* Hands‑on experience working with AI Foundry.
* Strong understanding of machine learning, model development, and deployment workflows.
* Experience with data pipelines, ML Ops, or cloud‑based AI tooling.
* Ability to work autonomously in a fast‑paced project environment.
* Strong communication skills and ability to collaborate with both technical and non‑technical teams.

ase apply.

Please click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.

To find out more about Real, please visit

Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Remote- UK 6-month contract with Potential Extension Day rate - £427.68 - £565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML). NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred.This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy

Your new company Working for a globally renowned consultancy (end client is a public sector organisation). Your new role We are offering an exciting opportunity for a Data Scientist to join our expanding AI delivery team. In this role, you will work hands-on as an AI engineer, data scientist, and developer, contributing to the design and delivery of strategic AI initiatives. You'll help build intelligent solutions, automate processes, and apply modern AI technologies to real business challenges within a public sector environment. What you'll need to succeed Must have lived in the UK for a minimum of 5 years (essential for security clearance checks). Experience with key AI platforms and tools, including: Microsoft Copilot / Copilot Studio Experience configuring or building AI-driven workflows, copilots, or automation solutions. Familiarity with prompt design, data integration, and governance within the Microsoft ecosystem is beneficial. AWS Bedrock Hands-on experience using Bedrock to access and apply foundation models for tasks such as text generation, summarisation, classification, or search. Understanding how to integrate Bedrock models into wider AWS services is advantageous. IBM ICA (Intelligent Content Analysis) - Desirable Useful experience with document understanding, processing unstructured data, and rule‑based or AI‑assisted content analysis. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

400 per day - inside IR35

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.

Candidates must be based in UK and eligible to work in UK.

Remote-Friendly Software Development Opportunity in Agricultural Technology
Join an award-winning agricultural analytics software company at the forefront of sustainable technology. We’re seeking exceptional Back-End Developers who can transform data into impactful solutions that enhance food production, farm economics, and environmental resilience.

Position Highlights:

• Remote Work
• London based head office
• Cutting-Edge Agricultural Technology Platform
• Opportunity to Drive Sustainability through Innovative Software Solutions

Candidate Assessment Process:

• LeetCode-Style Coding Challenge
• Designed to evaluate algorithmic problem-solving skills
• Focus on efficient, optimised solutions
• Challenges will test:

• Data Structures
• Algorithm Design
• Computational Thinking
• Performance Optimisation

Ideal Candidate Profile:
Academic and Professional Requirements:

• Ideally PhD graduate but minimum qualification: Degree/Masters in Computing, Computer / Data Science, or Equivalent
• Proven Commercial Experience as a Back-End Microsoft Developer
• Strong Academic Background with Demonstrable Achievements
• Proven ability to excel in time-constrained, algorithmic problem-solving

Technical Expertise:

• Advanced Proficiency in:

• C# and .NET Framework
• Microsoft Azure Cloud Platform
• SQL and SQL Server
• Complex Data-Driven Software Development
• Strong Algorithm and Data Structure Knowledge

Preferred Background:

• Experience in FinTech or Similar Structured Data Environments
• Demonstrated Ability to Scale Applications for Large User Base
• Previous success in technical coding assessments

Personal Attributes:

• Exceptional Attention to Detail
• Strong Collaborative and Communication Skills
• Creative Problem-Solving Approach
• Quick Analytical Thinking
• Ability to perform under time pressure
• Passion for Technological Innovation in Sustainability

What We Offer:

• Work with Respected Professionals
• Cutting-Edge Technology Solutions
• Meaningful Impact on Agricultural Sustainability
• Opportunity to Develop Market-Leading Software
• On top of the very competitive salary all employees are included in the company share scheme

Data Scientist (NLP & LLM Specialist)Remote- UK6-month contract with Potential ExtensionDay rate - 427.68 - 565 per day Inside IR35

Data Scientist (NLP & LLM Specialist)

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
• Industry Knowledge: Experience with Risk Modeling or financial services is preferred.

This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk

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

If you want to push the boundaries of machine learning on cutting edge computing hardware, this role offers a rare chance to do exactly that. You ll join a small, high impact team working at the forefront of next generation architectures, developing ML models and techniques that go beyond what s possible on conventional systems.

We are working exclusively with a pioneering deep tech organisation whose technology is used by leading global research institutions and industry innovators. Their multidisciplinary team is exploring new frontiers in generative modelling, hybrid neural network approaches, and advanced hardware accelerated ML.

As a Machine Learning Research Engineer, you ll design and benchmark new algorithms, experiment with novel architectures, and contribute directly to the company s software stack, research output, and technical roadmap. You ll collaborate with internal experts, customers, and research partners to turn complex real world problems into high performance ML solutions.

Key Responsibilities

• Develop and benchmark ML algorithms for novel computing hardware
• Work on generative models (flow, diffusion, GANs) and hybrid quantum classical architectures
• Translate customer and partner problems into hardware ready ML solutions
• Contribute new algorithms and examples to the user facing software stack
• Publish research and support IP protection activities

What You ll Bring

Required:

• Strong experience developing and benchmarking ML algorithms
• Expertise with generative models (flow, diffusion, and/or GANs)
• Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum, etc.)
• Excellent Python/PyTorch programming skills
• Master s or PhD in a relevant field

Desirable:

• Multi GPU model experience
• Publication track record
• Customer facing experience
• Interest or knowledge in quantum computing

Personal Fit:

• Startup mentality: proactive, hands on, adaptable
• Strong communicator
• Curious, growth oriented, excited by emerging tech

We re managing this role exclusively. If this sounds like your next challenge, apply now, and we ll be in touch.

Contract Length: 6 months (highly extendable)

Location: Remote

Rate: TBC

Overview

We are embarking on a major AI transformation programme, spanning 3-5 years, comprising multiple workstreams and projects across the organisation. One of the key early initiatives within this programme is the design and delivery of an Agent Assist capability, enhancing contact centre interactions through intelligent, conversational AI.

This role will focus on building, configuring, and optimising conversational AI solutions that integrate with IVR and telephony platforms, enabling intelligent call routing, real-time agent support, and improved customer experience. You will work closely with the UC/Telephony team, contact centre stakeholders, and the wider AI programme.

Key Responsibilities

• Design, configure, and deliver Conversational AI / Agent Assist solutions using Cognigy AI
• Build conversational flows that support intent recognition, natural language understanding (NLU), and context-aware responses
• Integrate AI-driven Agent Assist with IVR and telephony platforms, enabling:

• Intelligent call routing
• Context capture and handover to live agents
• “Warm transfers” with full conversation history

• Collaborate with the UC/Telephony team to align AI flows with call routing logic and voice infrastructure
• Configure and optimise solutions primarily through low-code / no-code interfaces, with light scripting where required
• Work across multiple AI workstreams as part of a long-term transformation programme
• Support testing, tuning, and continuous improvement of conversational experiences
• Translate business and contact centre requirements into effective AI-driven solutions

Required Skills & Experience

• Proven, hands-on experience delivering solutions using Cognigy AI
• Experience building Conversational AI, Virtual Agents, or Agent Assist capabilities
• Understanding of IVR routing concepts, including call flows, intents, and escalation paths
• Experience integrating AI with contact centre or telephony environments
• Comfortable working with UI-driven / configuration-based AI platforms
• Strong communication skills and ability to work across technical and non-technical teams

ECS Recruitment Group Ltd is acting as an Employment Business in relation to this vacancy.

A growing technology team is developing a new generation of intelligent, audio-driven products designed to interpret real-world acoustic environments and generate meaningful insight. As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms.

The Opportunity Working alongside embedded, hardware, and software specialists, you will contribute to the full lifecycle of audio intelligence, from dataset strategy and model design through to optimisation and deployment.

The role offers genuine ownership and the chance to influence core technology within a product-focused engineering environment.

Required:

Core experience

• Strong grounding in audio machine learning or applied signal processing
• Experience training and evaluating models using modern ML tooling
• Awareness of real-world acoustic challenges such as noise, reverberation, and variability
• Comfort working in a small, fast-moving engineering team
• Likely a PhD or MSc + some industry experience

Beneficial

• Edge or embedded ML optimisation
• Audio feature extraction or DSP knowledge
• Postgraduate study in a relevant technical discipline
• Experience with sensing, monitoring, or real-world data systems

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