Are you an experienced Blue Prism Developer looking for your next challenge? This is an exciting opportunity to join a growing Process Excellence & Automation team, where you will play a key role in delivering high‑quality, scalable automations that drive real business impact.

This role is hands‑on, fast‑paced, and ideal for someone who loves building robust automation solutions, improving processes, and working across multiple business functions.

The Opportunity

As a Blue Prism Developer, you’ll focus primarily on end‑to‑end automation delivery. Around 80% of your time will be spent building, enhancing, and maintaining Blue Prism solutions. You’ll join the process after analysis but will often contribute technical insight earlier on to shape the optimal solution design.

You’ll be at the heart of improving operational efficiency, applying continuous improvement principles, conducting impact analysis, and ensuring that automations are delivered to the highest standard.

What You’ll Be Doing

Optimise business processes and existing automations while following strict change‑control practices
Conduct impact analysis to understand how new automations affect wider operations
Work closely with Business Analysts and stakeholders to design future‑state automated solutions
Develop Blue Prism automations end‑to‑end in line with best practices
Deliver a minimum of 8 completed automation projects per year
Produce detailed SIT and UAT scripts and lead structured test cycles
Prepare deployment plans, schedules, environment readiness, and Hypercare documentation
Support production environments by assisting in triage and root cause analysis when requiredWhat You’ll Need

Technical Requirements

Recent (within the last 4 years) hands-on Blue Prism development experience - essential
Blue Prism Professional Developer accreditation - mandatory
Minimum 2+ years’ experience building automations with Blue Prism, including advanced concepts
Demonstrated history of delivering 8+ automation projects per year
Background in software development or system configuration (C#, C++, Java, or similar)
Experience integrating Blue Prism with RESTful APIs and web services
Solid understanding of Blue Prism architecture and infrastructure
Strong logical thinking and ability to interpret complex process mapsYOU MUST BE ELIGIBLE TO WORK IN THE UK, AND THE BELOW IS KEY:

Recent Blue Prism experience in the last 4 years
Demonstrated history of delivering 8+ automation projects per yearPlease get in touch asap if you’re interested -

Ideally you’re based in London, but the client will consider candidates elsewhere in the UK.

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

Job Title: AI Solutions Engineer (Client-Facing AI Automation Specialist / AI Solutions Consultant)

Location: Preston HQ 3 days per week in office
Salary: Up to £70,000 per annum

Essential Requirements:

• Right to work in the UK (sponsorship cannot be provided)
• Full UK driving licence
• 3-4 years experience working as a AI Engineer

Role Overview

A growing technology services organisation is seeking a commercially minded AI Solutions Engineer to lead bespoke AI modelling and automation initiatives. This is an end-to-end, client-facing role, where you will not just build solutions to specification but actively engage with clients and internal teams to uncover operational inefficiencies, design intelligent AI solutions, and deliver scalable automation that drives measurable ROI. The focus is on transforming manual operational drag into AI-powered workflows.

Key Responsibilities

Client Discovery & Consultation

• Lead discovery sessions with clients and internal stakeholders
• Map business workflows and identify bottlenecks
• Translate operational challenges into AI-led solutions

Process & Efficiency Analysis

• Identify hidden inefficiencies, manual handoffs, and data silos
• Quantify the impact of automation in terms of time savings, cost reduction, and scalability

Bespoke AI Agent Development

• Design, build, and deploy custom AI agents aligned to specific business use cases
• Develop intelligent workflows to automate complex, multi-step tasks

Multi-Agent Architecture

• Architect and orchestrate multi-agent systems capable of autonomous workflow execution

Cross-Model Integration

• Work across leading LLM ecosystems, including OpenAI, Anthropic, Google Gemini
• Select the appropriate model based on performance, risk, and business requirements

Workflow Integration

• Integrate AI agents into wider automation and business platforms for seamless adoption

Candidate Profile

• Confident in leading client discovery conversations
• Able to translate complex AI concepts into clear, business-focused language
• ROI-driven with a strong operational efficiency mindset
• Capable of owning projects end-to-end, from initial discussions to deployment
• Strong understanding of AI APIs, prompting logic, and agentic frameworks (e.g., LangChain, AutoGen, CrewAI or similar)
• Highly motivated, commercially aware, and eager to deliver meaningful AI solutions

Opportunity

This role offers the chance to shape AI capability within a growing organisation and have direct commercial impact. Significant scope exists for career progression as AI capability scales, with exposure to cutting-edge AI technologies and client-facing strategic initiatives.

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.

Were working with a leading healthcare technology company, based in Chorley right next to Buckshaw Parkway railway station. This role will focus on designing and delivering AI-driven capabilities and intelligent automation within our core policy and claims management product, define and build new features that improve user productivity and automate high-volume, repeatable processes, particularly around claims invoice processing and related workflows.

You will work within a Scrum team (3-week sprints), contributing to our existing .NET/Angular platform while leading the design and implementation of AI-centric features and integrations. You will partner closely with our ML engineering and infrastructure teams to leverage our in-house GPU infrastructure and Run.ai platform for model training, fine-tuning, and inference at scale.

Key Responsibilities

Core Product Development (.NET / Angular / Messaging)

• Design, build, and maintain core product features using:
  • .NET (C#), ASP.NET Core
  • Angular
  • SQL Server and MongoDB
  • RESTful APIs and NServiceBus
• Contribute to application architecture decisions, refactoring initiatives, and shared platform components.
• Ensure new AI features are robust, secure, explainable, and integrated cleanly into the existing product.

AI Capability & Feature Development

• • Work with Product Management and domain experts to identify high-value AI use cases, initially focusing on automating processing of claims invoice documents (e.g. OCR, document classification, data extraction, validation workflows).
  • Design, implement, and integrate AI services and pipelines, such as Machine learning / rules-based components for classification, anomaly detection, and routing (e.g. flagging potentially incorrect invoices or exceptional cases).
  • Fine-tuned language models or specialized inference models deployed on our in-house GPU infrastructure.

User Experience & Workflow Automation

• • Work closely with Product and UX to design AI features that give clear benefits to end-users (time saved, errors reduced, fewer clicks).
  • Implement workflow automation and orchestration:

Required Skills & Experience

• Strong commercial experience building enterprise applications with:
  • .NET / C#
  • ASP.NET Core
  • Angular
  • SQL Server and MongoDB
  • RESTful APIs; NServiceBus or equivalent service bus/messaging platform.
• Demonstrable experience in at least one of:
  • Implementing AI/ML-driven features in a production product, or
  • Building document processing / intelligent automation workflows (OCR, classification, extraction, validation).
• Familiarity with common AI/automation building blocks such as:
  • OCR and document understanding (e.g. cloud services or libraries).
  • Entity extraction, text classification, or similar NLP tasks.
  • Rule engines, workflow engines, or BPM/orchestration tools.
• Strong understanding of non-functional requirements for AI features:
  • Performance and throughput for high-volume processing.
  • Data protection, privacy, and access control.
  • Auditability, traceability, and explainability for automated decisions.
• Solid grounding in software engineering fundamentals: design patterns, testing strategies (unit/integration), CI/CD concepts, secure development lifecycle.

Personal Attributes

• Product-minded engineer who thinks in terms of user outcomes, not just technology.
• Pragmatic with AI: focused on solving real user problems and automating meaningful work, rather than technology for its own sake.
• Comfortable working in ambiguous problem spaces and iterating quickly based on feedback.

Raytheon UK has a unique, perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).

As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.

Based in Gloucester, Manchester or London in a hybrid capacity (average of 3 days a week on-site). You must be eligible and willing to gain SC and eDV clearance.

Responsibilities

Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance

Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines

Undertake research and applied AI/ML tasks on both customer and internal research projects

Generate ideas for new research directions and provide technical leadership in small project groups

Mentor more junior team members within their project team and the wider SRG

Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.

Required Skills & Experience

BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field

Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch)

Proven experience of delivering ML solutions to customers and internal stakeholders

Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.

Experience of training and developing AI models including Large Language Models

Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications

Experience of mentoring and undertaking technical leadership on small projects

Desirable Skills & Experience

PhD. or Masters degree

Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs or Docker)

Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands)

Experience of deploying AI models in a scalable way for external users

Experience working in Cloud, preferably AWS but also GCP or Azure

Research publications in peer reviewed journals

Experience of writing technical project proposals

Benefits and Work Culture

37hr working week with early finish Fridays - start your weekend early!

An informal, flexible working culture that is output focused

25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering

Contributory Pension Scheme (up to 10.5% company contribution)

Annual company bonus scheme (discretionary)

6 times salary Life Assurance with pension

Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work, amongst others

Enhanced sick pay

Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

Raytheon UK

This business area provides DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.

Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. Together, we are not just advancing technology; we’re building a community committed to safeguarding a safer and more connected world.

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

TPBN1_UKTJ

Principle Java Engineer Salary to £70k + Company Options Scheme Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for an experienced (Principle/Team Lead) Java Engineer to join their implementation team. Youll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration helping their public-sector clients build secure, scalable, and resilient digital services. Youll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. Youll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security clearance SC DV eDV London home based hybrid lead senior manager manage

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

Role Purpose:

Location- Ruddington, Nottinghamshire

Level - Senior Management

Department - Product R&D

Working Pattern - Hybrid (three days a week in the head office) or homebased dependant on where based

Salary - this will be discussed at next stage, if you have any questions at all please feel free to reach out.

Benefits - Benefits at Ideagen

We are seeking a Senior Vice President of Product Management to lead the development and strategy for an AI-enabled EHSQ & Compliance platform. This platform supports organizations in managing environmental, health, safety, quality, audit, and risk processes in compliance-driven industries.

The SVP will define and implement the product vision and roadmap, ensuring alignment with business objectives and commercial performance. The role involves leading a team of Product Managers, driving product-led growth, and integrating AI capabilities into the product lifecycle. Collaboration with engineering and experience teams is essential to deliver solutions that meet customer and regulatory requirements.

Responsibilities:

• Establish and execute an AI-focused product strategy aligned with organizational goals.
• Manage commercial performance metrics, including revenue growth and customer retention.
• Lead and develop the product management team.
• Oversee product delivery using agile and lean methodologies.
• Conduct customer engagement and research to validate solutions.
• Monitor technology trends, compliance standards, and AI governance.
• Communicate product plans and progress to senior stakeholders.

Skills and Experience:

• Extensive experience in B2B SaaS and regulated industries (EHSQ, GRC preferred).
• Proven leadership in product management and growth-focused roles.
• Familiarity with AI-enhanced products and compliance frameworks.
• Strong commercial acumen and stakeholder communication skills.
• Knowledge of governance, risk, and compliance best practices.
• Understanding of AI ethics and data privacy principles.

About Ideagen

Ideagen is the invisible force behind many things we rely on every day - from keeping airplanes soaring in the sky, to ensuring the food on our   tables is safe, to helping doctors and nurses care for the sick. So, when you think of Ideagen, think of it as the silent teammate that’s always working behind the scenes to help those people who make our lives safer and better. Everyday millions of people are kept safe using Ideagen software. We have offices all over the world including America, Australia, Malaysia and India with people doing lots of different and exciting jobs.

We’re building a future-ready team, and AI is part of how we work smarter. If you’re curious, adaptable and open to using AI to improve how you work, you’ll thrive at Ideagen!

What is next?

If your application meets the requirements for this role, our Talent Acquisition team will be in touch to guide you through the next steps.

To ensure a flexible and inclusive process, please let us know if you require any reasonable adjustments by contacting us at  . All matters will be treated with strict confidence.

At Ideagen, we value the importance of work-life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in, please let us know during the application process. Enhance your career and make the world a safer place!

#INDHP
#LI-REMOTE

My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment.

The Role

As Lead Data Scientist, you will:

Lead and develop a growing Data Science team, setting standards and delivery cadence

Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance

Translate business objectives into modelling strategies aligned to risk appetite and operational constraints

Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)

Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions

Establish monitoring frameworks for performance, drift, and retraining

Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

Proven commercial ML/Data Science delivery with measurable impact

Experience taking models into production and managing performance over time

Prior experience leading or mentoring Data Scientists

Strong Python (pandas, numpy, scikit-learn or similar)

Strong SQL (complex joins, aggregations, analytical functions)

Solid grounding in applied statistics, evaluation design, calibration, bias/fairness

Experience working closely with Engineering/Data teams in production-first environments

Comfortable operating within regulated industries

Desirable

AWS experience (S3, Athena/Glue, IAM, Lambda)

SageMaker or equivalent ML platform experience

Financial services domain knowledge (risk, fraud, affordability, payments)

Experience with model explainability and governance documentation

Package & Benefits

Hybrid working model

Competitive pension

Additional paid leave (birthday, charity, wellbeing, life events)

Employee assistance programme & Virtual GP

Modern collaborative office environment

Interested? Please Click Apply Now!

Lead Data Scientist

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 Do

Research & 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 directionFocus: 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 fundamentalsDesirable

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 recommendationLonger 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 ProductWe’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

We are building a team of Software Engineers for a consultancy supporting a company in Portsmouth.

Candidates will need active Security Clearance and to be a Sole British National

Roles will be offered outside IR35 on an initial 6-12 month contract. Anticipated that it will be a hybrid working pattern (minimum 3 days onsite)

Rates negotiable, circa £60-£70 ph Outside IR35.

The Tasks:

• Development of Software Design and UML Model for assigned tasks (candidate tasks below).
• Verification and Integration Testing of developed software
• Support to Test Events and Demonstrations

Candidate development tasks may include:
• Development of requirements, algorithms and implementation of autonomous UAV functions (e.g flight plans, low level flight)
• Integration Machine Learning models into existing UAV C2 system
• Integration of a UAV model into existing synthetic environment
• Bug fixes following verification and integration testing

Experience/Skills Required
• Experience developing SW for autonomous applications
• Experience integrating and developing Machine Learning models
• UI Design
• Algorithm development
• Requirements management in Enterprise Architect / DOORS / JIRA
• Model Based Sys Eng and SW Modelling in Enterprise Architect
• Source code management in GitLab
• Primarily C++, optionally C# (Visual Studio) & Python
• Mixture of OS environments (Real-time e.g. WindRiver, Green Hills, LynxOS, Linux, Windows)

Location: Fareham Permanent – Full Time Flexi Working £60,000 - £75,000 Our client is seeking a Senior Software Engineer to develop advanced autonomy capabilities for unmanned marine and aerospace systems. This hands‑on role spans R&D, prototyping, and production‑level delivery, working on autonomy behaviours, mission frameworks, vessel guidance, obstacle avoidance, and modern AI‑driven techniques where appropriate. You’ll work closely with a multidisciplinary engineering team and take ownership of delivering reliable, mission‑critical software deployed on real autonomous platforms. Key Responsibilities Develop high‑level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for path planning, obstacle avoidance and mission autonomy. Build robust autonomy software using C++, Python, ROS2, DDS, and Linux‑based systems. Integrate autonomy with perception, navigation, and hardware components. Test and validate software in simulation and real‑world environments. Balance R&D experimentation with production‑quality delivery. Take ownership of work packages, tracking progress and identifying risks. About You Essential: Strong hands‑on experience in C++ and Python. Solid understanding of autonomous systems (motion planning, state estimation, behaviour‑based control). Strong Linux skills including debugging and optimisation. Knowledge of real‑time systems, distributed computing and middleware. Experience delivering software in both R&D and production environments. Desirable: ROS/ROS2, DDS, sensor fusion, simulation tools (Gazebo, CARLA, Unreal), embedded/real‑time systems, Docker/Kubernetes, PX4/MAVLink, or experience in defence, aerospace or maritime autonomy. Benefits 25 days holiday Flexible working hours Private medical insurance Pension scheme Life assurance Health care cash plan Cycle to Work Professional membership reimbursement Free parking Interested? If you’re ready to apply your expertise to a dynamic engineering environment and contribute to innovative vessel design projects, we’d love to hear from you. Apply today to take the next step in your career. Marine Resources Recruitment Ltd acts as an employment agency for permanent and fixed term contract recruitment and as a recruitment business for the supply of contract workers. Please note that by applying for this job you accept our Terms of Use and Privacy Policy which can be found on our website

Automation / Data Engineer

Location: Hybrid working (Midlands)

Panoramic Associates are supporting a Local Authority through a digital transformation programme, modernising how services are delivered to residents. They are scaling AI assisted tools, intelligent automation, and data engineering capabilities to improve service quality and reduce operational costs.

There are roles available across all levels to join this programme and support the delivery of an organisation wide automation and data strategy. You will be an experienced automation or data engineer with a track record of delivering measurable transformation within a complex organisation, ideally in the public sector. Ability to work independently is key - you will be a trusted member on the team.

As an engineer you will:

• Manage delivery of automation and data projects
• Designing and implementing intelligent automation, integration solutions, and scalable data pipelines
• Identifying opportunities council wide
• Communicate technical concepts to stakeholders

I’m keen to speak with candidates with varied skillsets in this space, with a focus on the Microsoft stack, UI Path, Blue Prism, Power Automate, and alternative low/no code experience. Additionally, experience working across multiple service areas within a Local Authority will be prioritised!

Unfortunately we cannot offer sponsorship or fully remote at this time.

Pop through an application if the above role suits your experience!

PRINCIPAL AI PLATFORM ENGINEER

Up to £90,000 + BENEFITS

SHEFFIELD (Hybrid)

This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.

THE COMPANY:

They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one.

THE ROLE:

• Build and operate production-ready AI agents on GCP
• Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
• Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
• Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
• Shape engineering standards, patterns and tooling as part of a new AI function.

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
• Deep hands-on expertise with GCP services
• Strong Python skills
• Practical experience with LLMs, embeddings, RAG architectures and vector databases.
• A track record of building production-grade AI systems, including observability, evaluation and automated testing.
• DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

12 months
Barrow in Furness - hybrid
Active SC clearance required
Inside IR35 - Umbrella

Essential skills and experience

• Prompt Engineering
• GenAI Assistant Management
• Business & Process Analysis
• Documentation and Value Orchestration
• Knowledge Transfer/Training Client Teams
• Uses Watsonx tooling (RHOS + Fusion tech) deployed in an on-prem environment
• Includes technical oversight, integration interlock, and architecture coordination with the client

Required Skills:

• Must be UK National with 5+ years UK residency
• Business & Process Analysis
• Value Orchestration
• Prompt Engineering
• Knowledge Transfer
• Documentation
• GenAI solution development exposure (implicit in responsibilities)

Nice to Have Skills:

• Celonis
• GenAI experience
• Watsonx

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.

Take the next step in your data career & work with cutting-edge AI driven data migration projects! Small, but mighty data transformation company, operating in the financial services & banking arena are looking for a Data Analyst / Data Engineer to work on a freshly built AI data migration & pipeline application platform. A most excellent opportunity for an ambitious junior to move on in their career & work with agentic AI at the forefront of data manipulation. Job title: Data Engineer / Data Analyst. Location: We have a London office (Liverpool Street) but operate remotely across the UK. However, for this role, we d like someone commutable to London (London or home counties, maybe?) V flexible on office / home-based work though. Salary: £40K - £45K + Bens What you ll be doing: - Working with our newly built, in-house agentic AI data migration, transformation & schema building platform! - SQL / Python scripting: Prompt > test > validate > deliver. - Working closely with our Senior Data Engineer & Data Project delivery manager on client projects - Learning a great deal about complex financial data sets, migration, schemas & AI data platforms! What you ll need to bring: - SQL & Python coding knowledge. Working with complex financial data (migration, ETL, Schemas, etc) would be great, but any sphere is totally fine. - Data related, STEM, Computer science, etc type degree, or equivalent experience. - Inquisitive, questioning nature with oodles of critical thinking! That s it. We d love to hear form you, so please do hit the apply now button, or get in touch to be considered.

Solution Architect - Innovation & Digital

£84,000 (inc. cash allowance) + enhanced holiday + private medicalHybrid - typically 1-2 days per month in the office

I’m working with a client of ours who are a well-established UK organisation investing heavily in their Innovation & Digital capability. This isn’t a traditional architecture role sitting in governance or platform. This is greenfield. Experimentation. Prototyping. Turning ideas into real, live digital products that the business actually uses.

You’ll sit within a forward-thinking Architecture function that looks after products - not waterfall programmes, not static platforms - but genuine innovation. Around 30% of your time will be in the innovation labs space, working with stakeholders to shape ideas, challenge thinking, and build proof of concepts. Another 30% will see you taking the best of those ideas into full builds, working closely with agile development squads to get them over the line.

This is as much about communication and influence as it is technical design. You’ll be expected to challenge the business (constructively), articulate ideas clearly, and translate complex technical thinking into something commercial leaders can genuinely understand.

They’re doing some exciting things in the AI space too - from building their own secure internal chat capability through to AI-driven, compliance-focused transformation products. Gen AI is a big part of the experimentation pipeline, so whether you’ve delivered AI projects already or you have a solid grasp of the principles and infrastructure behind it, that curiosity and understanding is important.

What you’ll be doing

You’ll be at the front end of innovation - taking problem statements from across the business and turning them into tangible prototypes, MVPs and scalable digital products. You’ll design and lead technical solutions in a cloud-first environment, collaborate with architects and engineers to ensure alignment to enterprise strategy, and stay hands-on enough to validate ideas quickly.

You’ll also stay involved post go-live - consulting with product teams to ensure what’s been built is adopted, maintained and evolved properly. This isn’t “design it and disappear”. It’s proper ownership.

In your first year, the expectation is that you’ll fully understand the business streams you support - both technically and commercially - becoming a trusted voice in that space.

What they’re looking for

• Experience as a Solution Architect or Technical Architect (or a Lead / Senior Developer who has stepped into architecture)
• Strong background in cloud solutions - AWS or Azure, they’re flexible
• Proven experience delivering greenfield work, proof of concepts and MVPs
• Comfortable working in agile product environments
• Exposure to AI / Gen AI projects or a strong understanding of the principles
• Able to design compliant, production-ready solutions
• Strong stakeholder engagement skills - able to challenge and influence
• Confident presenting technical designs to both technical and non-technical audiences
• Creative mindset - enjoys experimenting and trying new approaches

You don’t need to be an Enterprise Architect living in governance frameworks all day. They want someone pragmatic, technically credible, and commercially aware. Someone who enjoys getting stuck in.

The environment

• £84,000
• Enhanced holiday - 28 days plus holidays
• Private medical
• Flexible hybrid working - typically twice a month in the office
• Core 9-5 but flexibility around start / finish times
• A mature team who trust people to manage their time

The interview process is two stages - an initial Teams conversation with the Architecture leadership, followed by an in-person presentation where you’ll design a solution and walk them through your thinking. Communication is absolutely key here.

If you enjoy greenfield architecture, experimenting with AI and emerging tech, and working in an environment where you can genuinely influence the direction of digital products - this is well worth a conversation.

Looking to get CVs out on this ASAP so get in touch if you need anything.

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.

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