£450/day outside IR35

London-based - twice a week on-site

6 month initial contract

Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications.

Will require working cross-functionally to conceptualise, design, test and deploy AI projects.

Azure AI/ML Engineer, key responsibilities:

Build, develop and deploy AI applications using Python

Design and Develop AI services

Setup and develop data ingestion pipelines and components

Develop search related components using Azure AI Search

Developing and deploying AI/ML models

Built and maintain scalable, high-performance AI apps on Azure

Create and maintain secure AI platform

Collaborate cross-functionally to understand requirements

Azure AI Engineer, Azure ML, Python

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

Location - Erskine, Newcastle, Farnborough or London

Candidates are required to be eligible for clearance

What Youll Do

• Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships.
• Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources.
• Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics.
• Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability.
• Integrate with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows.
• Collaborate with AI Teams: Enable AI agents and LLMs to leverage ontologies and knowledge graphs for context-aware reasoning.
• Adopt Best Practices: Stay current with semantic web standards and contribute to internal guidelines for semantic data management.

What Were Looking For

• Education: Bachelors degree in Computer Science, Information Science, or related field.
• Semantic Web Expertise: Hands-on experience with OWL, RDF, and SPARQL.
• Knowledge Graph Experience: Practical experience with graph databases (Neo4j, GraphDB, Apache Jena, etc.).
• Data Modelling & Integration: Strong understanding of data architecture and integration techniques.
• Programming Skills: Proficiency in Python, Java, or similar for semantic data processes.
• Analytical Skills: Ability to troubleshoot ontology logic and query performance.

Desired Experience

• Familiarity with metadata standards (Dublin Core, schema.org).
• Experience integrating semantic technologies with AI/LLM workflows.
• Proven track record of embedding semantic layers into enterprise systems.
• Hands-on with tools like Protégé, semantic reasoners, or cloud-based graph services (AWS Neptune, Azure Cosmos DB).

Why DXC Technology?
At DXC Technology, we help global enterprises run mission-critical systems and operations while modernising IT and driving innovation. Join us to work on impactful projects that shape the future of enterprise data and intelligent systems.

Data Engineer (AWS Python Kafka) London / WFH to £85k

Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills?

You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role.

As a Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You’ll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions.

Location / WFH:

There’s a hybrid work from home model with two days a week in the London, City office (or at client site in London).

About you:

• You are an experienced Data Engineer within financial services or consulting environments
• You have expertise with AWS including Lake formation and transformation layers
• You have strong Python coding skills
• You have experience with real-time data streaming using Kafka
• You’re collaborative and pragmatic with excellent communication and stakeholder management skills
• You’re comfortable taking ownership of projects and working end-to-end
• You have a good knowledge of Distributed Systems and DevOps tooling
• Ideally you will also have Databricks experience

What’s in it for you:

As a Data Engineer you will earn a highly competitive package:

• Salary to £85k
• Bonus c15%
• Pension (up to 7% employer contribution), Life Assurance, Income Protection
• Private medical care for you and your family, including mental health
• Travel Insurance
• Charitable giving
• Gym membership for you and your family
• Flexible holiday scheme

Apply now to find out more about this Data Engineer (AWS Python Kafka) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

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.

Package - £55,000 - £85,000 (depending in experience level)

Benefits - DV Bonus plus excellent benefits

Clearance - Cleared to eDV level

Location - Cheltenham or Manchester

Join a trusted leader in National Security technology solutions.

Do you enjoy solving technical cyber problems and identifying vulnerabilities?

As part of our client’s expanding National Security division, you’ll contribute to high-impact missions across AI/Data Science, Cybersecurity, Cloud, DevOps, and Platform Engineering. We’re seeking inquisitive individuals who excel at dissecting technical systems, not just to understand how they work, but to identify weaknesses, assess risks, and develop mitigation strategies.

What You’ll Be Doing

• Software analysis and reverse engineering of compiled or interpreted code that could be obfuscated or defensively structured, for either x86/x64 or ARM processor architectures.

• Reverse engineering a wide range of technologies to uncover vulnerabilities and improve security including operating systems and/or firmware internals, security architectures and hardware abstraction.

• Engineering software from design to delivery in modern IDEs and languages, using Agile delivery.

• Creating tested and testable code. Integrating with automated verification systems, CI and CD pipelines.

• Working closely with cybersecurity teams to prioritize vulnerabilities and implement patching strategies.

• Collaborating in Agile teams to deliver innovative, secure, and robust technical solutions.

What We’re Looking For

• Proficiency in one or more of C, C++, Java or C#.
• Familiarity with scripting and automation using Python, Bash, Powershell or Groovy.
• Experience working with IDA Pro or Ghidra for reverse engineering
• Experience working with Linux or Windows-based systems.
• Awareness of secure coding practices and modern cybersecurity threats.
• Knowledge of principles used in Agile environments.

Desirable exposure

Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus.

Clearance required

You will already hold an active eDV security clearance

This is an incredible opportunity to be at the forefront of National Security innovation. If you’re naturally curious, thrive in high-stakes environments, and want to make a real impact, apply today!

As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff.
Forward Role is operating as an employment agency.

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 & ExperienceMust 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.

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.

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AI Engineer - Greenfield AI Project - Leeds (Hybrid) Up to £35,000 My client is seeking Graduates with 18 months+ commercial software experience with an interest in AI, ideally some exposure through personal projects or commercial exposure.

ABOUT THE CLIENT

Due to continued growth, we’re recruiting on behalf of an established Leeds-based software house embarking on a greenfield AI project. This is an opportunity to join at the very start of a new AI function, working closely with senior engineers to shape intelligent products from the ground up.

The organisation has a strong engineering culture, modern tech stack, and a track record of delivering scalable software solutions across multiple sectors.

THE BENEFITS

* Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment in production environments

THE AI ENGINEER ROLE

As an AI Engineer, you’ll join a collaborative engineering team working on the design and development of AI-driven features within a brand-new platform. This is a hands-on role where you’ll contribute to model development, data processing pipelines, and integration of AI services into production systems.

You’ll work closely with software engineers, product teams, and stakeholders to help translate business requirements into scalable AI solutions. Given the greenfield nature of the project, you’ll have genuine influence on tooling, frameworks, and best practice from day one.

AI ENGINEER - ESSENTIAL SKILLS

* Degree in Computer Science, Data Science, AI, or similar * Around 18 months’ commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments

TO BE CONSIDERED:

Please either apply through this advert or email me directly via . For further information please call me on 0113 887 8355 / 07441 348 209. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS

AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex AI

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Location: London (Hybrid) Salary: Competitive + Benefits Halian are representing a leading UK digital publishing organisation is seeking an AI Engineer to drive AI innovation across editorial, commercial, and product teams. This is a newly created opportunity to play a pivotal role in shaping how artificial intelligence is embedded into a large-scale newsroom and digital media environment. You will work cross-functionally to identify high-impact use cases and design practical, scalable AI solutions that improve efficiency, engagement, and decision-making. The Role Design, prototype, and deploy AI-driven tools to enhance newsroom and business workflows Develop prompt-engineered generative AI applications for summarisation, tagging, research support, and operational efficiency Build and test AI agents and automation workflows to streamline repetitive processes Partner with editorial, product, commercial, and technology stakeholders Foster a test-and-learn culture through experimentation and rapid iteration Ensure responsible and ethical AI deployment aligned with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset with the ability to translate business needs into scalable AI solutions Experience within media, publishing, or digital product environments is advantageous Whats on Offer Competitive salary 25 days holiday (increasing with service) Pension and life cover Employee discounts and wellbeing support Onsite facilities including gym and healthcare support This is an excellent opportunity for an AI Engineer who wants to see their work deployed at scale within a high-impact, fast-paced digital environment. For a confidential discussion or to apply, please get in touch. 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.

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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

3-Month contract - Inside IR35 - market rate Selby based - hybrid working - 1/2 days office based Must have previous experience in energy sector, power generation or power trading industry Key Responsibilities Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value. Collect, clean, and transform structured and unstructured data from multiple internal and external sources. Develop, test, and deploy predictive models and machine learning algorithms to address business challenges. Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers. Communicate insights and recommendations through clear storytelling, visualisations, and dashboards. Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance. Evaluate model accuracy and effectiveness, implementing continuous optimisation and tuning. Stay up to date with emerging data science tools, methodologies, and industry best practices. Perform sensitivity analysis to assess model robustness and variable impact. Required Skills and Qualifications At least 5 years' experience in client‑facing data science roles with demonstrable impact on business outcomes. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Strong proficiency in Python or R, including libraries such as pandas, scikit‑learn, NumPy, TensorFlow, or PyTorch. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Hands‑on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods). Proficiency with SQL and data warehousing technologies. Ability to translate complex analytical findings into clear, practical business recommendations. Strong problem‑solving skills and natural curiosity for exploring and understanding data. Industry experience in power generation and power trading Preferred Skills and Qualifications Experience working with cloud platforms such as Azure, AWS, or Google Cloud. Background in deploying machine learning models into production environments (MLOps experience is advantageous). Hands‑on experience with big‑data or distributed computing tools such as Spark and Databricks. Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Key Competencies Strong analytical and conceptual thinking. Excellent communication and data‑storytelling capabilities. Effective collaboration and stakeholder‑engagement skills. High attention to detail and commitment to data accuracy. Continuous learning mindset and openness to new techniques and technologies.Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

Corsham (Wiltshire)
6 Month Contract
£450/day (Outside IR35)

Data Analytics Consultant needed with active SC Security Clearance. 6 Month Rolling Contract based in Corsham (Wiltshire). Start ASAP in March/April 2026.

Hybrid Working - 3 days/week remote (WFH), and 2 days/week working from the office in Corsham (Wiltshire).

A chance to work with a leading global IT and Digital transformation business specialising in large-scale Government projects:

• Project Objective: design, build + implementation of a cloud based Data Analytics platform to provide data workflow, data visualisation + dashboard solutions.
• Key Skills: Tableau, Power BI + Apache Superset dashboard + data visualisation tools.
• Python and R-style workflow development environments.
• SQL querying + data transformation skills.
• AWS / Cloud Native Infrastructure environments.
• Hands-on experience with secure, cloud-based Data Analytics platforms.
• Supporting definition of the POC scoping, success criteria + value proposition.
• Shaping the technical path from POC to MVP considering scalability, security, governance + reuse.
• Supporting build, configuration + implementation activities alongside developers + data engineers.
• Ability to simplify complexity + communicate technical trade-offs clearly to key stakeholders.
• In-depth experience in Data Engineering, Data Analytics platforms and Data Science.
• Identity Access Management (IAM/IDAM) experience would be advantageous.

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.

This is an exciting opportunity for a Data Architect to play a pivotal role in shaping data strategies The Data Architect is responsible for designing, developing, and maintaining the organisation’s data architecture to support business objectives, analytics, and operational systems.

Client Details

We are a global healthcare company committed to Life. The company’s products, technologies, and services are used for the therapy and care of critically and chronically ill patients. With over 41,000 employees and present in over 100 countries, our expansive product portfolio focuses on providing access to high-quality and lifesaving medicines and technologies.

Reporting to the head of IT, the Data Architect will sit within the data & analytics team, this is a hands on role, helping ensure that the data is fit for use by the business.

Description

The successful Data Architect will be responsible for but not limited to:

• Contribute to our data architecture strategies aligned with business objectives.
• Collaborate with stakeholders to understand data requirements and ensure efficient data integration.
• Develop and maintain data models to support analytics and reporting needs.
• Ensure data quality, security, and compliance with industry standards and regulations.
• Optimise data storage and retrieval processes for improved performance.
• Work closely with the analytics team to deliver actionable insights.
• Oversee the migration and consolidation of data systems.
• Provide technical guidance and support to the team on data-related projects.

Profile

The successful Data Architect will be able to demonstrate:

• Strong exposure to cloud Azure cloud platform and data visualisation platforms (Power BI)
• Knowledge of Azure Data Factory or similar tools
• Proficient with implementing Medallion Architecture.
• Excellent problem-solving and analytical skills.
• The ability to work collaboratively with cross-functional teams.

Job Offer

This is a great opportunity for a Data Architect / Senior Data Engineer looking to take the next step in their career. We are based in Runcorn and easily commutable from the surrounding area however we also offer flexible / hybrid working. In addition to these great benefits, we also offer:

• Competitive salary ranging from 80,000 - 85,000
• Discretionary bonus 5k per annum.
• Opportunities for professional growth and development.
• Supportive and structured work environment in Runcorn.
• Comprehensive benefits package (details to be confirmed).

This is a fantastic opportunity for a Data Architect / Senior Data Engineer looking for the next step in their career. If this sounds like the role for you, apply now.

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!

6 month contract

Based in Bristol

Offering 65ph Inside IR35

Do you have experience writing, delivering, and testing algorithm related software?

Do you have experience with MathWorks tools?

Do you want to work with an industry-leading company?

If your answers to these are yes, then this could be the role for you!

As the Algorithm Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry.

Due to the nature of the work you will be involved in, active UK SC Clearance will be required.

You will be involved in activities throughout the product life cycle including early research studies, feasibility and concept stages, and product development and customer support.

You will be involved in:

• Work alongside algorithm engineers and technical experts to transcode a large, complex legacy algorithm codebase from ADA to MATLAB
• Define, distribute, and review core activities to enable efficient completion of the transcoding
• Develop test harnesses and provide robust and extensive testing procedures to ensure equivalence between transcoded code base and legacy ADA algorithms
• Follow Code of Practise (CoP) in developing MATLAB algorithms to ensure compatibility with auto-coding tools, rectifying/resolving issues, and reframing algorithms as necessary to ensure compatibility with tool chain
• Build good working relationships with stakeholders, including downstream software team, to enable effective transfer and integration of MATLAB algorithm artefacts into larger product
• Support resolution of queries and non-compliances

Your skillset may include:

• Experience writing, delivering, and testing algorithm related software
• Experience writing software/algorithms within MathWorks tools
• Verification of requirements and evidence review
• Experience writing, interpreting ADA code
• Specific tools knowledge: IBM Engineering Workflow Management / GIT

If this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

Algorithm Engineer

6 month contract

Based in Bristol

Offering 65ph Inside IR35

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited (“ARM”). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Algorithms/Software Engineer required for long term contract assignment based in Bristol.

Skillset/experience required:

• Essential:
  • Experience writing, delivering and testing algorithm related software
  • Experience writing software/algorithms within Mathworks tools
  • Verification of requirements and evidence review
  • Rapid assimilation of technical information
  • Ability to work as part of a team
• Desirable
  • Experience writing, interpreting ADA code
  • Specific tools knowledge: IBM Engineering Workflow Management / GIT
  • Sea launched weapons experience

Responsibilities:

• Work alongside algorithm engineers and technical expert to transcode a large, complex legacy algorithm codebase from ADA to Matlab
• As part of a wider team, define, distribute and review core activities to enable efficient completion of the transcoding within project timeframe.
• Develop test harnesses and provide robust and extensive testing procedures to ensure equivalence between transcoded code base and legacy ADA algorithms
• Follow Code of Practise (CoP) in developing Matlab algorithms to ensure compatibility with auto-coding tools, rectifying/resolving issues and reframing algorithms as necessary to ensure compatibility with tool chain.
• Build good working relationships with stakeholders, including downstream software team, to enable effective transfer and integration of Matlab algorithm artefacts into larger product
• Support resolution of queries and non-compliances

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.