Location: Remote (UK-based)
Employment Type: Permanent, Full-Time
Salary: £90,000 - £100,000 + great benefits

About the Role

We’re looking for an experienced Engineering Manager to lead our engineering team and drive successful delivery of cutting-edge Machine Learning and AI-powered products.

This role is ideal for someone who combines strong technical credibility in ML/AI environments with proven leadership and people management skills. You’ll oversee delivery pipelines, mentor engineers, and ensure AI-driven products are delivered to the highest standard - on time and aligned to business impact.

Key Responsibilities

• Lead, mentor, and develop a team of engineers working across software and AI/ML initiatives
• Drive delivery across multiple concurrent projects, ensuring alignment with business and product goals
• Oversee technical direction, architecture, and best practices across Machine Learning and AI-powered systems
• Collaborate with stakeholders to prioritise work, manage timelines, and balance innovation with operational reliability
• Promote a culture of continuous improvement, quality, and accountability
• Ensure scalable, secure, and production-ready AI solutions

Skills & Experience

Required:

• Proven experience as an Engineering Manager leading technical teams
• Strong background delivering Machine Learning and AI-powered products
• Experience leading and developing high-performing engineering teams
• Track record of delivering complex technical projects on time and to a high standard
• Excellent communication, organisational, and stakeholder management skills

Desirable:

• Experience with CI/CD pipelines and modern DevOps practices
• Background in hands-on software engineering or technical architecture
• Knowledge of cloud-based AI/ML applications and scalable infrastructure
• Experience working in fast-paced or high-growth environments

Why Join Us?

• Fully remote role with flexibility and autonomy
• Competitive salary and comprehensive benefits package
• Opportunities for leadership growth and career development
• Collaborative, supportive culture with an emphasis on innovation and delivery excellence

Ready to make an impact?

We are an equal opportunities employer and welcome applications from all suitably qualified candidates, regardless of race, sex, disability, religion/belief, sexual orientation, or age.

A Senior Innovation technologist is a hybrid professional who combines technical skills (like software development, hardware engineering, or digital fabrication) with creative thinking (such as
design, storytelling, and user experience) to build innovative, often interactive experiences.

In Simple Terms:

An innovation technologist uses technology as a creative mediumlike an artist uses paint or a
musician uses instrumentsto bring ideas to life, often in new or unexpected ways.

What They Typically Do:
Prototype ideas quickly using code, electronics, sensors, AI, or immersive tech (like AR/VR).
Collaborate with creatives (designers, artists, strategists) and developers to make
experimental digital projects.
Bridge the gap between concept and implementationturning what if? into here it is.
Common Areas of Work:
Advertising and media: Creating interactive installations, digital billboards, or tech-driven
campaigns.
Startups & product innovation: Rapid prototyping for new digital products.
Museums & events: Building experiential exhibits or immersive environments.
AI and generative art: Using algorithms and data as tools of expression.
Example Projects:
Using AI to accelerate the SDLC
Insurance: IoT data used to enable continuous underwriting and more accurate pricing
A hyper-personalised Loans product with unique rates and terms & Conditions.
Creating a cost optimised multi model journey management tool

Key Skills:
Knowledge of GCP Cloud architecture, development and deployment (K8s)
Coding (JavaScript, Python, Java, etc.)
UX/UI design
AI/ML, generative design, 3D engines (e.g. Unity)

Competitive + Bonus

Remote, UK

Permanent full time

About IRIS

IRIS is one of the UKs largest privately held software companies, delivering mission-critical solutions to businesses, schools and public sector organisations for over 40 years.

With 3,000 colleagues across the UK, Ireland, Romania, North America and India, we are entering an exciting growth phase scaling through innovation, cloud transformation and strategic acquisition.

Our mission is simple:to simplify the lives of organisations through powerful, intelligent software.

The Opportunity

We are seeking a strategic and technically accomplishedAssociate Director of Engineeringto lead the technology vision, architecture and delivery of our Education-focused SaaS products.

This is a senior leadership role responsible for:

• Leading a 30+ person engineering organisation (6 direct reports)
• Shaping cloud-native SaaS architecture
• Embedding AI into engineering practices and product development
• Delivering secure, scalable, customer-centric solutions

You will be instrumental in building ourAI-first engineering culture modernising tooling, accelerating delivery, and enhancing product intelligence.

What Youll Do

Drive Engineering Strategy

• Define and execute architecture roadmaps aligned to business goals
• Champion AI and automation across the SDLC
• Ensure scalable, API-first, cloud-native platform design
• Prevent platform duplication and optimise reuse

Lead & Inspire Teams

• Build, mentor and scale high-performing engineering leaders
• Establish strong development frameworks and growth pathways
• Create a culture of accountability, innovation and continuous improvement

Deliver With Excellence

• Partner with Product to bring AI-enhanced features to market
• Oversee delivery across multiple concurrent initiatives
• Ensure operational excellence in deployment, monitoring and resilience

Champion Security & Governance

• Drive secure engineering and compliance (GDPR, SOC2)
• Ensure risk-aware practices across architecture and delivery
• Support responsible AI governance

What Youll Bring

• 10+ years in software engineering, including senior leadership experience
• Proven SaaS delivery on AWS and/or Azure
• Experience modernising legacy platforms into scalable cloud-native solutions
• Strong understanding of DevOps, SRE, API architecture and AI integration
• Demonstrated ability to embed AI tools to improve engineering velocity
• Commercial awareness and customer-first mindset

Why Join Us?

• Strategic influence in a high-growth division
• Opportunity to shape an AI-first engineering culture
• Work on impactful Education technology
• Leadership scope across architecture, people and innovation
• Backed by a strong M&A growth strategy

If youre a technologist who can scale engineering with vision, discipline and an AI-forward mindset wed love to hear from you!

Please note:

We occasionally close vacancies early in the event that we receive a high volume of applications. Therefore we recommend you apply as soon as possible.

Were looking for a skilled Azure Data Engineer with hands-on experience in Microsoft Fabric to join our growing data team. If youre passionate about building scalable, modern data platforms in Microsoft Azure, wed love to hear from you.

What Youll Do

• Design, build, and maintain scalable data pipelines using Azure services
• Develop and optimize solutions in Microsoft Fabric (Data Factory, Lakehouse, Warehousing)
• Implement ETL/ELT processes using tools such as Azure Data Factory
• Work with large datasets in Azure Synapse Analytics and Azure Data Lake Storage
• Collaborate with analysts and stakeholders to deliver high-quality, reliable data solutions
• Ensure data governance, security, and performance best practices

What Were Looking For

• Strong experience with Azure data services
• Proven experience with Microsoft Fabric
• Proficiency in SQL and Python
• Experience designing data models and working with large-scale datasets
• Understanding of CI/CD and DevOps practices

Excellent problem-solving and communication skills

We are currently looking for an experienced ML & AI Engineer to join a major technology program delivering advanced AI-driven solutions within the banking sector. The role involves working on innovative AI initiatives, building scalable infrastructure, and developing intelligent systems that power agent-based workflows and conversational AI platforms. You will collaborate with cross-functional teams to design and implement next-generation AI capabilities and help drive the evolution of AI-powered products. Program Scope Develop and provision infrastructure that supports agentic AI workflows across both Azure and Google Cloud Platform (GCP) environments. Provide data science expertise to support the design of agent-based solutions, including Coach AI and future AI Assistant capabilities. Create integration patterns for AI agents to interact with banking systems and perform actions on behalf of customers. Contribute to the development of new AI products within the Conversational Banking Lab. Key Initiatives Include Agent Summarisation Develop advanced capabilities to summarise complex and nuanced customer conversations. App Search Evolution Transform existing vector search functionality into a fully generative AI-driven search experience , creating a single unified interface for users. Evaluation Methods Build automated evaluation frameworks to test and validate both deterministic and generative AI conversations at scale. Required Skills & Experience Must Have Strong Python development skills , with 2+ years of experience building production-grade applications using Large Language Models (LLMs) . Solid understanding of software engineering principles , including: Microservices architecture CI/CD pipelines Event-driven architecture Hands-on experience with AI engineering practices , including: RAG (Retrieval-Augmented Generation) pipelines Prompt engineering LLMOps Runtime monitoring and evaluation of AI systems Experience with Vertex AI Experience in data engineering , including building scalable data pipelines using Python and Spark . Strong knowledge of GCP-native services , including: BigQuery (BQ) Spanner Dataflow Firestore Nice to Have Experience with Agentic AI frameworks , such as: LangGraph ADK CrewAI Multi-agent architectures Experience building deployable AI solutions (production environments rather than notebook-only solutions). Knowledge of data ontologies and graph-based data models . Exposure to Agile or Scrum development methodologies . TPBN1\_UKTJ

Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).

Data transformation & manipulation : experience with Airflow, DBT and Kubeflow

Cloud: Experience with GCP and Vertex AI (developing ML services).

Expertise: Solid understanding of computer science fundamentals and time-series forecasting.

Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

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.

TPBN1_UKTJ

Fully Remote (UK-Based)

Salary Up to £45,000 + Benefits

Method Resourcing working with a UK-based SaaS scale-up building a next-generation data visualisation and diagram-driven platform, helping users interact with complex data, documents, and visuals in intuitive ways.

They’re now looking for a Full Stack AI Engineer to help take AI-powered features from proof of concept into production as the product continues to scale.

This role is particularly well suited to engineers early in their career who already have strong hands-on experience and want to deepen their exposure to AI in a real production environment.

?? What you’ll be doing

Building and shipping AI-powered features across the full stack

Taking ideas from POC ? production

Working with TypeScript, React, and Python on a live SaaS product

Enhancing how users interact with data, documents, images, and diagrams using natural language

Evaluating and improving model and feature performance

Learning and collaborating closely with experienced software and AI engineers

AI is treated as a core part of software engineering, with strong emphasis on performance, security, and best practices.

?? This role is a great fit if you:

Have 2-3 years of commercial experience

Are already hands-on with TypeScript, React, and Python

Have solid software engineering fundamentals

Are interested in AI / LLM-powered features and keen to build real-world experience

Enjoy building, shipping, and learning rather than just talking about tech

Bonus (not essential):

Exposure to infrastructure or data-heavy systems

Any experience integrating AI, LLMs, or automation into product

Please note this employer is unable to offer visa sponsorship. Whilst this role is fully remote, candidates must be UK based.

RSG Plc is acting as an Employment Agency in relation to this vacancy.

TPBN1_UKTJ

Contract Machine Learning Engineer (LLM & GC)

6-Month Contract | Outside IR35 | £600 per day

We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands-on delivery role, focused on turning models into scalable, reliable, production systems that solve real business problems.

The contract will run for at least 6-months, will be Outside IR35 at £600 per day, and we are looking to start the project at the beginning of March. This role suits a delivery-focused ML Engineer who enjoys taking models from concept through to production, rather than staying purely in research or experimentation.

Key Responsibilities

Design, build, and productionise machine learning models using GCP-native services

Translate business problems into deployable ML solutions

Develop and maintain end-to-end ML pipelines (training, testing, deployment, monitoring)

Work with data scientists and engineers to operationalise models at scale

Implement best practices for model performance, versioning, and lifecycle management

Ensure solutions are secure, scalable, and cost-efficient within GCP

Required Experience

Strong hands-on experience building and deploying ML models on Google Cloud Platform

Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions / Cloud Run

Solid Python experience for ML and data engineering workloads

Experience productionising models (not just experimentation or notebooks)

Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance

Ability to work independently in a contract environment and deliver at pace

Nice to Have

Experience with real-time or near-real-time ML use cases

Exposure to data pipelines and orchestration tools

Prior work in regulated or large-scale enterprise environments

Contract Details

Duration : 6 months

Rate : £500 per day

IR35 : Outside IR35

Start : March 2026

To learn more about this opportunity, please send your CV to Method Resourcing for consideration.

RSG Plc is acting as an Employment Business in relation to this vacancy.

TPBN1_UKTJ

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks TPBN1\_UKTJ

A leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps / AIOps), rather than building ML applications from scratch. Key Responsibilities Design and develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML models Required Experience & Skills Proven experience deploying AI/ML models into production (MLOps / AIOps) Strong AWS experience (other cloud platforms will not be considered) Experience with CI/CD pipelines for ML/DL models Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch) Experience with container technologies (Docker, Kubernetes) Consultancy or client-facing experience preferred Strong communication and stakeholder management skills Qualifications IT / Technology-related degree (e.g. Computer Science, Engineering, Mathematics or similar) Minimum 2:1 classification (or equivalent) Bachelors degree or higher required TPBN1\_UKTJ

Job Description AI Engineer Location Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance DXC Technology (DXC: NYSE) is the worlds leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The companys technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. Were looking for a talented and forward-thinkingAI Engineerto join our innovative team. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains. In this role, youll help design and build modern data pipelines that bring together information from a variety of systemsmaking data accessible, trustworthy, and ready for intelligent analytics and AI solutions. You will collaborate closely with teammates across disciplines and have the opportunity to learn from experienced engineers and leaders. Key responsibilities include: Supporting and contributing to data engineering projects, helping ensure delivery within scope and timelines. Working alongside supportive team members to develop and maintain data pipelines and infrastructure. Partnering with cross-functional teams to understand data needs and shape solutions. Contributing to data quality, governance, and security initiatives. Learning directly from specialists in AI and data engineering. Helping to continuously improve and optimise data processes. Staying current with emerging tools, trends, and technologies. Contributing to a collaborative, inclusive, and growth-focused team culture. What youll bring A Bachelors degree in a relevant field or equivalent experience. Experience with modern data engineering tools and technologies. A growth mindset and passion for continuous learning. Understanding and hands-on experience with Transformer models and LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine-tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join Us? Work on AI solutions that make a meaningful impact across industries. Be part of a supportive, collaborative, and forward-thinking team. Access mentoring, continuous learning, and career-development opportunities. Enjoy flexible working arrangements designed to support worklife balance. Join a company committed to inclusion, wellbeing, and empowering your success. TPBN1\_UKTJ

Principal Software Engineer - C++, Python - Financial/Banking

Candidates will have 10+ years C++ experience and excellent knowledge of Python -coming from a Financial/Banking background with knowledge of Equities, Futures & Options and Fixed Income and Exchange Connectivity.

Job Overview
You will work with the Product, Infrastructure and QA teams, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets around the world.

To be successful in this role as a Principal Software Engineer - C++, you will be a proponent of agile methodology and modern software best practices. You can produce detailed technical work in OOP and work with other members of the Development team to produce code of high-quality standards. Ideally, you should have worked in critical systems development in the past.

Responsibilities and Duties
Codes, tests, integrates, and documents software.
Provides technical leadership to more junior employees and other teams.
Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products.
Participate as a Subject Matter Expert in internal review of software components and systems.
Work on the hardest technical problems facing the company, often these problems are unusually complex and require the utmost creativity and innovation.
Apply and champion the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products.
Keep abreast of technology trends and champion new ideas and process improvements.

Required Skills/Experience
10+ years development experience in C++ 11 and Boost creating performant, scalable applications.
6+ years of experience in networking (UDP, Multicasting, TCP, etc ), messaging, and algorithms.
6+ years of experience on Linux systems.
Good understanding of modern development best practices and methodologies
Python, including Pytest.

Knowledge of capital markets exchange connectivity on stocks (Fixed Income and derivatives is a plus), including exchange protocols such as FIX and SBE.

Most importantly, a drive to solve complex technological and trading challenges with a great team of talented developers.

Comfortable using Agile methodology, including continuous integration, sprints, Jira and the relevant processes and workflow.

Some understanding and usage of cloud technology is a plus but not mandatory.

AI, Automation & Emerging Technology
UK Junior Mid Level 2+ Years Experience

About the Role

We re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you ll generate the technical evidence that supports strategic decisions. You ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It s structured, evidence-led innovation.

You ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We re looking for curiosity and rigour in equal measure someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now!

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement.

As a Gen AI Architect, you will:

• Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions.
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines
• Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy.
• Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments.
• Drive thought leadership through client workshops, industry forums, and technical advisory.
• Ensure AI solutions meet governance, ethics, and responsible AI standards.
• Collaborate with internal teams and global partners to deliver world-class AI platforms.

Key Skills & Experience:

• 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture)
• Knowledge of GenAI operations (ideally, experience governing AI models in production environments)
• Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems.
• Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering.
• Proven ability to engage directly with CxO-level stakeholders.
• Experience in MLOps, AI governance, and large-scale deployment.
• Recognised professional certifications in AI or cloud technologies.

If you have these skills and would like to find out more, please apply now

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.

Technical Solutions Architect

Remote - Occasional travel to Burton on Trent or London required

Salary - £75,000 per annum

A Technical Solutions Architect is required for our client based in Burton on Trent. The role focuses on shaping, documenting, and guiding the architecture of enterprise-level digital solutions, while ensuring they integrate seamlessly with Microsoft Dynamics 365 environment-including Customer Engagement, Finance & Operations, and the wider Power Platform. It involves turning complex business needs into secure, scalable, and high-performance designs built on Azure services, digital platforms, and Microsoft cloud technologies.

Key Skills & Responsibilities:

• Partner with the Lead Architect, development teams, and senior leaders to shape solution designs across Impact Assessment, Design, and Delivery.
• Convert user stories into clear solution designs, data flows, and mock-ups for delivery teams and stakeholders.
• Ensure high-quality functional and non-functional requirements, epics, and user stories with Product Managers.
• Define and document end-to-end architecture across Azure, SaaS platforms, Dynamics 365 CE/FO, and the Power Platform.
• Design scalable integrations using Azure Logic Apps, Azure Functions, and Dataverse.
• Architect Power Platform solutions including Power Apps, Power Automate, and Power BI.
• Lead technical design reviews to ensure alignment with enterprise architecture and compliance standards.
• Proficiency in C#, .NET, JavaScript, and SQL Server.

Interested? Send your up to date CV to Emma Siwicki at Harvey Nash for review!

Job Title: Senior Clean Water Modeller

Salary: £55,000 - £65,000/year

Location: Fully remote

Contract Type: Permanent, Full Time

Hours: 37

About the role

We are looking for an experienced Senior Clean Water Modeller with expertise in InfoWorks WS Pro to support the development and application of clean water distribution models. You will play a key role in strategic planning, operational optimisation, leakage reduction and regulatory compliance across potable water networks.

What you will be responsible for:

• Lead the development, maintenance and calibration of clean water hydraulic models using InfoWorks WS Pro.
• Validate models against telemetry, logger and flow/pressure test data.
• Conduct scenario modelling to assess network performance under normal and stress conditions.
• Support operational teams with real-time and predictive modelling for pressure management and resilience.
• Provide modelling for investment planning, including mains reinforcement, DMA creation and growth impact.
• Simulate water quality parameters such as water age, chlorine decay and booster performance.
• Mentor junior modellers and contribute to modelling standards, QA/QC and workflow automation (Python, SQL).
• Prepare and present reports and visualisations for internal and external stakeholders.

What youll bring to the role:

Essential:

• Understanding of water and wastewater engineering within the UK Water Industry.
• Degree (MEng/BEng/BSc) or HNC in Engineering, Environmental Science or related field.

AI-ComfyUI Workflow Developr - Luxury Brand Production Pipeline
Contract | London-based Studio | UK Remote

London creative agency building high-end CGI for luxury brands needs a contract ComfyUI Workflow Developer who can build AI-powered production pipelines, not just prototype demos.

The project:

Phased approach. 3-4-week POC sprint first, proving that automated AI asset generation can meet luxury brand quality standards. If the client signs off, you move into full production build and deployment.

As the AI/ComfyUI Workflow Developer, you’ll create ComfyUI workflows that generate high-resolution brand imagery at volume using AI models without sacrificing brand quality. Custom AI pipelines, API integration with their content systems, and quality validation that works for luxury market expectations. This has to work in production, not just look good in a deck.

POC sprint proves:

• AI workflow architecture that actually scales
• Quality output matching existing CGI standards
• Integration approach for brand DAM systems
• Production roadmap client can commit budget to

Production phase builds:

• Full AI pipeline deployment handling real campaign volumes
• Scale automation that doesn’t break
• Handover documentation for their in-house technical team

What this AI/ComfyUI Workflow Developer role needs:

• Demonstrable ComfyUI workflow development capability
• Python automation and API integration skills
• Real experience with AI generation models (MidJourney, Stable Diffusion, Seedance, Flux, or similar)
• Production deployment knowledge and error handling
• Ability to explain technical constraints to creative teams clearly

Bonus points:

• Previous luxury brand, product visualisation, or CGI workflow experience
• Agency-side work where you’ve dealt with changing briefs

The agency is well-versed in CGI production, working with high-end brands and delivering projects within strict brand guidelines.

If you’re an experienced AI/ComfyUIworkflow Developer, apply with your current CV and portfolio that showcase workflow examples and projects.

Role Overview

The Software Engineer (R&D) designs, develops and delivers robust, scalable software solutions while also originating and assessing new innovations. The role requires strong computer science foundations, the ability to think abstractly, and experience building performant core algorithms.

The Software Engineer (R&D) works independently on complex technical tasks, collaborates effectively within Agile teams, and contributes across the full software development lifecycle. They are expected to mentor junior Engineers, contribute to architectural direction, and drive quality and innovation through best practices.

In addition to core product development, the role may involve:

• R&D investigations and prototyping that feed into future products
• On project basis work within a two-week sprint Scrum framework
• Professional services projects for specific customers
• Supporting customers through advanced technical problem-solving and bug resolution

Key ResponsibilitiesR&D and Innovation

• Originate, prototype and assess new innovations
• Think abstractly to explore algorithms and approaches for calculating distances, performance and accuracy.
• Explain problems addressed and approach to them, listen and appreciate feedback
• Prototype ideas in code, design and run appropriate performance and correctness tests (including O(n) analysis).
• Call time on investigations that are not producing results and refocus effort where appropriate.
• Roadmap architectural approaches that address diverse and sometimes unconnected customer feedback.
• Ensure R&D work remains focused on clear goals and outcomes.
• Document findings thoroughly and hand over validated work to the wider development team.
• Demonstrable knowledge and experience in data mining, machine learning (including deep learning), generative AI (e.g., with Retrieval-Augmented Generation), and reinforcement learning.

Software Development & Delivery

• Design, develop, test and maintain software applications using Java (8+), XSLT, XML, JSON, JavaScript, TypeScript and React.
• Develop and maintain automated tests to ensure high coverage, performance and reliability.
• Take ownership of feature development from concept through deployment.
• Write clean, maintainable and well-documented code following industry best practices.
• Submit code for CI pipelines, resolve broken builds, and actively participate in debugging and optimisation.
• Participate in code reviews, providing constructive feedback and mentoring junior Engineers.
• Data Science algorithms and techniques.
• Probability & Statistics.
• Parsing frameworks.
• Deeper knowledge of AI techniques beyond assembling predefined components.
• Background in theory of the techniques and maths that AI uses.

Collaboration & Agile Ways of Working

• Actively participate in Agile ceremonies including Daily Scrum, Sprint Planning, Reviews and Retrospectives.
• Work closely with Product Management to understand customer feedback and prioritise areas for innovation.
• Collaborate across Engineering, Product and R&D to define and deliver new features.
• Contribute to backlog refinement and continuous improvement of team processes and technical practices.

Customer & Operational Support

• Collaborate with internal support teams to deliver accurate solutions and improve customer satisfaction.
• Maintain accurate records of development work, R&D investigations, failed attempts and time spent.
• Keep JIRA issues and project documentation up to date.

Required Skills & Experience

• Degree in Computer Science, Software Engineering, or equivalent professional experience.
• 3+ years experience in a major programming language, with strong experience writing core algorithms.
• Advanced proficiency in Java (8+).
• Good knowledge of XSLT and data transformation techniques.
• Experience working with structured data formats such as XML and JSON.
• Strong understanding of algorithms, data structures and performance analysis (O(n .
• Experience with REST APIs, SaaS architectures and cloud infrastructure (preferably AWS).
• Hands-on experience with Git, Bitbucket, JIRA and Confluence.
• Familiarity with Agile/Scrum methodologies.
• Ability to work independently, lead technical initiatives, and collaborate effectively within teams.

Desirable Experience

• XML comparison, transformation or document-processing systems.
• CI/CD pipelines and automated testing frameworks.
• Containerisation technologies such as Docker or Kubernetes.
• Data science algorithms, probability and statistics.
• Parsing frameworks.
• Deeper understanding of AI techniques and their mathematical foundations.
• Experience with JavaScript, TypeScript and React. JF1

Data Architect, Data Lake, AWS, Azure, Insurance, Cloud

We are seeking an experienced and forward-thinking Data Architect to lead and optimise our data architecture initiatives, with a strong focus on the insurance sector. You will be responsible for designing, implementing, and governing scalable, high-performance data solutions that support both internal objectives and client-facing initiatives.

• Build modern data infrastructure using technologies such as Databricks, Snowflake, Data Lakes, Data Warehouses, and Lakehouse architectures.
• Promote and implement data mesh principles to enhance data accessibility across the global organisation.
• Utilise deep expertise in SQL and database management to optimise performance and scalability.
• Apply industry knowledge to support insurance-specific data needs, including operational efficiency and regulatory compliance.
• Possess expert-level knowledge in AWS or Azure cloud technologies
• Extensive experience as a Data Architect within large, complex organisations-ideally with deep specialisation in the insurance industry.
• A strong track record of designing and implementing successful enterprise-level data strategies.
• Strong cloud experience in wither AWS or Azure.
• Expertise across SQL, data solutions, and solution architecture for data lakes, data warehouses, and modern data frameworks.
• Exceptional leadership, communication, and stakeholder engagement skills.
• Solid understanding of the insurance domain, with experience in the wealth sector or exposure to technologies such as Aladdin or Guidewire considered advantageous.
• A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

This opening can be based from multiple locations

Data Architect, Data Lake, AWS, Azure, Insurance, Cloud

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Role Summary

We are seeking a highly skilled MLOps Engineer to focus on the deployment, monitoring, and maintenance of machine learning models in production environments. This role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance of ML platforms while managing API endpoints and deployment workflows.

Key Responsibilities

Platform Operations & Monitoring

• Monitor ML model endpoints and platform health using tools such as Grafana and Domino Data Lab
• Respond to incidents and alerts; perform code fixes and manage changes via ServiceNow
• Liaise with Domino Data Lab support to resolve platform-related issues

Model Deployment

• Deploy and maintain ML models in production environments
• Ensure models integrate seamlessly into automated pipelines
• Maintain reliability, version control, and governance standards

Pipeline Maintenance

• Collaborate with Data Scientists and Engineers for smooth production handoff
• Maintain and optimize ML pipelines for stability and scalability
• Improve performance, resource usage, and automation

Automation & Tooling

• Implement automation for deployment and monitoring
• Contribute to continuous platform improvements

Required Skills & Experience

• Strong Python programming experience
• Proven experience deploying and monitoring ML models in production
• Understanding of model evaluation metrics, data drift, overfitting, and feature importance
• Experience with AWS services (S3, Redshift, etc.)
• Hands-on experience with Grafana for monitoring
• Familiarity with Domino Data Lab (desirable)
• Strong knowledge of CI/CD, version control, Docker, Kubernetes
• Excellent troubleshooting and incident management skills
• Strong stakeholder communication skills