Principal Software Engineer - Data Visualisation / Dashboard Development Edinburgh, UK | Fully Remote (UK-based)
Engineering | Cyber Security
£95,000 & Benefits
Ever wanted your dashboards to actually defend the internet?
This role does exactly that.
Im recruiting on behalf of a high-growth cyber security technology company that protects some of the worlds most critical online services from large-scale DDoS and application attacks. Their software sits right at the heart of customer networks- and when it works (which it must), entire businesses stay online. Theyre now expanding their world-class engineering team and are looking for a Principal-level expert to lead the charge on network and security analytics.
The Opportunity This is not a keep-the-lights-on role. Youll own and lead the design and development of sophisticated, high-performance dashboards used to visualise real-time network and security data. Youll set technical direction, mentor engineers, and build analytics that help customers instantly understand and stop complex cyber attacks. Youll be trusted to work from first principles, influence architecture, and make decisions that genuinely matter. What Youll Be Doing

• Leading a small, highly skilled team focused on network & security analytics
• Designing and building advanced Grafana dashboards running in Kubernetes
• Turning complex data into clear, insightful visualisations
• Developing and reviewing complex queries (Grafana, Splunk, Python)
• Mentoring engineers and shaping technical best practice
• Balancing hands-on development with technical leadership and ownership

What Were Looking For Essential

• Strong experience building dashboards and analytics in Python and ideallyGrafana
• Proven background leading engineers in an agile environment
• Solid understanding of Linux and AWS
• Excellent communication skills you can explain complex ideas simply
• A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar)

Nice to Have

• Knowledge of networking protocols and how the internet actually works
• Experience with Splunk & SPL
• SQL or similar data manipulation skills
• Exposure to network security products
• HTML, CSS, JavaScript
• Data Science or Machine Learning experience

Location & Flexibility

• Edinburgh-based engineers: hybrid working (typically 2 days in office)

• Fully remote options available for the right candidate

• Cutting-edge tech, complex data, and meaningful problems

• A culture that values ownership, curiosity, and smart engineering

If youre a senior/principal engineer who loves data, networks, and building things that actually matter this ones worth a conversation.
Bright Purple is an equal opportunities employer and we are proud to work with clients who share our values of diversity in our industry,

Job Title: Solutions Architect (AI and Automation)
Location: Remote (occasional travel to London required)
Salary: £75,000 - £85,000 (Depending on location)

Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator.

Solutions Architect Responsibilities

• Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies.
• Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms.
• Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance.
• Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices.
• Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security.

Solutions Architect Requirements

• Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI).
• Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture.
• Experience with cloud-native architectures, microservices, and SaaS integrations.
• Knowledge of data governance, information security, and AI ethics within regulated industries.
• Excellent stakeholder engagement and leadership skills.

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

GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing

We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.

Key Responsibilities

• Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
• Lead production deployment on AWS, Azure or GCP
• Build scalable backend systems in Python (JavaScript a plus)
• Manage infrastructure using Kubernetes, Docker, Terraform
• Own end-to-end technical delivery across multiple client deployments
• Conduct debugging, optimisation and root cause analysis
• Communicate complex AI concepts to technical and non-technical stakeholders

Requirements

• Strong experience building and deploying LLM / Generative AI solutions
• Hands-on with LangChain, RAG, multi-agent systems
• Cloud ML deployment experience (AWS, Azure or GCP)
• DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
• Customer-facing technical delivery experience
• Background in Machine Learning, Data Science or AI Engineering

This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.

Apply now to work at the forefront of enterprise AI deployment and agentic systems

Machine Learning Engineer (Python / MLE )

6 Month Contract

£650 - £750

Remote

Umbrella

Urgent Start

We are looking for a number of MLE / Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability and performance of their core data and Machine Learning systems.

If your background is diving into complex production codebases and possess excellent problem solving skills, this is the perfect opportunity. We need candidates ready to start by Mid to late November.

This is a deeply technical engineering role focused less on new feature development and more on reliability and fixes.

Key Skills:

Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment.

Extensive Python, NumPy and Pandas is required for this role.

You must demonstrate a deep commercial background in the following areas:

Extensive Python: Very strong, production-level Python coding and debugging skills.

Production Environment: Proven experience working directly with and troubleshooting issues in live production codebases (not just isolated development).

Cloud Experience: Solid experience with any major public cloud provider (GCP, AWS, or Azure).

Experience with BigQuery would be good.

Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting.

Direct experience with Google Cloud Platform, BigQuery, and associated tooling.

Experience with workflow tools like Airflow or Kubeflow.

Familiarity with dbt (Data Build Tool).

Please send your CV for more information on these roles.

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

Senior AI Engineer / Developer

Seeking an experienced AI Engineer / Developer to design and deliver production-grade AI systems using Large Language Models (LLMs).

This is a hands-on senior role focused on building scalable, enterprise-ready AI solutions.

Key Responsibilities

Design and implement LLM-powered applications

Build and optimise RAG (Retrieval Augmented Generation) pipelines

Develop AI agents with tool integration and multi-step workflows

Engineer scalable Python-based services and APIs

Implement semantic search using vector databases

Deploy and manage AI solutions within cloud environments (Azure preferred)

Contribute to best practices across evaluation, monitoring and reliability

Provide technical guidance within a growing AI function

Required Experience

Strong commercial experience building LLM-driven systems

Hands-on RAG architecture implementation

Solid Python software engineering background

Experience with frameworks such as LangChain, LlamaIndex or similar

Exposure to vector databases and embedding workflows

Cloud deployment experience (Azure advantageous)

Experience delivering production systems at scale

Role Type

Both Permanent / Contract options available.

Location

Remote (with occasional travel to office).

Salary

Permanent roles: £100k+ (potentially more for specialist experience).

Contract: Day rates

TPBN1_UKTJ

Job Title: Principal Pricing Analyst

Locations: This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough.

Role Overview

Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.

You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department.

Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers.

Bringing best in class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times.

You’ll work on multiple priorities within a fast paced, dynamic environment. You’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload.

As a Principal Pricing Analyst, you will use your advanced analytical skills to:

• Be a key stakeholder influencing the direction & outcome of projects
• Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions
• Provide thought leadership on optimisation and modelling concepts
• Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department
• Lead the development of the Groups pricing capability
• Query large databases to extract and manipulate data that is fit for purpose
• Oversee and assist in the development and implementation of the market leading methodologies you’ve identified
• Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved

Key Skills and Experience:

• Previous experience within general insurance pricing
• Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
• Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)
• A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
• Experience of WTW’s Radar software
• Proficient at communicating results in a concise manner both verbally and written

About us

Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.

Duration: 3-6 months

IR35 Status: Outside IR35

Location: Fully Remote Working

We are partnering with an ambitious start-up venture building a next-generation AI-powered decision intelligence platform for cybersecurity leaders. They are seeking an experienced contract AI Systems Architect to lead the architecture and delivery of a structured, guard railed AI engine designed for enterprise use. This is a high-impact contract role suited to someone who thrives at the intersection of product logic and advanced AI systems design. The successful contract AI architect will oversee the build of the core intelligence system, working directly with the founders.

Key Responsibilities

Architecture & System Design

• Define the end-to-end AI pipelines
• Design structured JSON schemas for inputs and outputs
• Architect a robust RAG framework (vector database, chunking strategy etc)
• Design domain and geography-aware retrieval logic

AI Orchestration & Guardrails

• Develop modular, section-based prompt orchestration
• Enforce structured JSON outputs
• Implement hallucination controls and citation enforcement
• Introduce prompt version control
• Build section confidence scoring and validation logic

Retrieval & Evidence Framework

• Define ingestion structures for curated regulatory and incident sources
• Oversee embedding and chunking strategy
• Implement evidence weighting tiers
• Ensure citation traceability and validation

Technical Leadership

• Act as technical lead across the offshore development team
• Define sprint scope and architectural standards
• Review pull requests and technical decisions
• Ensure delivery aligns with product logic
• Maintain pragmatic scope control

Key Experience

• Proven experience building production-grade LLM systems
• Hands-on RAG implementation
• Experience with OpenAI and Anthropic APIs
• Strong vector database experience
• Backend architecture expertise (Node.js or Python)
• Experience designing structured JSON pipelines
• Experience working with offshore development teams
• B2B SaaS background would be highly desirable

This is a unique position that allows a contractor the opportunity to architect a structured AI intelligence system from first principles in a high-autonomy environment. If you’re a UK-based contract AI systems architect with deep RAG experience and strong product logic instincts, please apply to the role immediately.

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

Key Responsibilities: Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment. Engineer data models and routing for multi-tenant observability; ensure lineage, quality, and SLAs across the stream layer. Integrate processed telemetry into Splunk for visualization, dashboards, alerting, and analytics to achieve Observability Level 4 (proactive insights). Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events. Build automated validation, replay, and backfill mechanisms for data reliability and recovery. Instrument services with OpenTelemetry; standardize tracing, metrics, and structured logging across platforms. Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly summarization, runbook generation). Collaborate with platform, SRE, and application teams to integrate telemetry, alerts, and SLOs. Ensure security, compliance, and best practices for data pipelines and observability platforms. Document data flows, schemas, dashboards, and operational runbooks.
Required Skills: Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect/KSQL/KStream). Proficiency with OpenShift/Kubernetes telemetry (OpenTelemetry, Prometheus) and CLI tooling. Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM), building dashboards and alerting. Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation. Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility. Familiarity with observability standards and practices; ability to drive toward Level 4 maturity (proactive monitoring, automated insights). Understanding of hybrid cloud and multi-cluster telemetry patterns. Security and compliance for data pipelines: secret management, RBAC, encryption in transit/at rest. Good problem-solving skills and ability to work in a collaborative team environment. Strong communication and documentation skills.

This 3-6 month contract for a Data Architect focuses on shaping and managing data architecture to support analytics initiatives. The role requires expertise in designing and implementing scalable data solutions.

Client Details

They are a not for profit organisation based in the North West

Description

• Design and implement robust data architecture frameworks to support analytics projects.
• Collaborate with cross-functional teams to ensure data solutions align with business objectives.
• Develop scalable data models and optimise database performance.
• Ensure data governance and compliance with relevant regulations.
• Provide technical guidance on data integration and transformation processes.
• Evaluate and recommend tools and technologies for data management.
• Document data architecture and maintain up-to-date records.
• Monitor and troubleshoot data-related issues to ensure seamless operations.

Profile

A successful Data Architect should have:

• Proven experience in data architecture and analytics within the life science industry.
• Strong knowledge of data modelling, database design, and data integration techniques.
• Expertise in relevant tools and technologies for data management and analytics.
• Understanding of data governance and regulatory compliance requirements.
• Ability to collaborate effectively with multidisciplinary teams.
• Strong problem-solving skills and attention to detail.

Job Offer

Daily rate of 450 to 600 - outside IR35

3 month contract, with likely extension

Fully remote role

AI & GenAI Solutions \* Design and delivery of production‑grade GenAI applications \* LLMs: Gemini (Flash), OpenAI, LLaMA \* Retrieval‑Augmented Generation (RAG), OCR‑based document intelligence \* AI‑driven automation for network design audit and compliance \* Full‑Stack Application Development \* Backend: Python, FastAPI, Django REST \* Frontend: Next.js, Angular \* Secure API design, document parsing, PDF obfuscation, data extraction \* Network Automation & Telco Domain Expertise \* RAN design validation and automation \* Network automation using APIs and intent‑based workflows \* Strong understanding of telecom network architecture and operations \* Cloud & Platform Engineering \* Cloud platforms: GCP (primary), AWS, Azure \* Containerized and cloud‑native application design \* CI/CD, Git-based workflows \* DevOps & Automation \* Infrastructure automation and orchestration \* End‑to‑end testing automation \* Performance optimization and operational efficiency improvements. \* Architecture & Technical Leadership \* End‑to‑end ownership from architecture to production \* Stakeholder collaboration with engineering, operations, and business teams \* Delivery of high‑impact solutions with measurable cost and time savings

Onsite Requirements: Remote
Start Date: ASAP
Role Duration: 1 year
Clerance Requirements: Active SC clearance
Inside IR35 - umbrella only

Role Description:
We’re looking for a Data Engineer whose main focus is understanding and documenting existing systems, with the goal of supporting decommissioning activities. The role centres on analysing current solutions built using Java, Node JS, and React, and developing a clear, end to end picture of how data flows across the wider programme.
This includes documenting data flows, system dependencies, and underlying data models, ensuring there is a clear record of how data is structured, stored, and used throughout the solution. The role involves investigating how systems are used on a day-to-day basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions.

Responsibilities:
Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires strong experience with testing and data quality management, ensuring that documented data flows and models are accurate and trusted. Experience working in cloud environments such as AWS or Azure is expected, with Databricks considered a nice to have.
Required Skills:

• Java background
• Node JS
• Json
• RDS
• React
• Data Modelling
• Python / Spark
• Cloud experience (AWS / Azure) o AWS Glue o Databricks
• Testing e.g. PyTest
• Data Quality e.g. Great Expectations

Role: Slots Developer

Location: Remote

Our client, a leading and innovative force in the iGaming industry, is seeking a highly skilled and experienced Slot Mathematician to join their dynamic team. This is a fantastic opportunity to play a pivotal role in creating the engaging and entertaining math models that drive world-class slot games.

In this role, you will be the mathematical engine behind our client’s most exciting projects, working to create the best gaming experience for a global player base. You will collaborate with a talented team of developers and designers to push the boundaries of slot game functionality and innovation.

Key Responsibilities:

• Design, develop, and validate sophisticated mathematical models for new and engaging slot games.
• Provide detailed analysis and explanations of your models to game designers, engineers, and other stakeholders.
• Collaborate with simulation developers to test, simulate, and sign off on models to ensure they perform as intended.
• Troubleshoot and provide technical guidance on the implementation of mathematical models with the engineering team.
• Work closely with the Game Producer to explore innovative game features and optimize the player experience.
• Manage multiple projects concurrently in a fast-paced, rapid-development environment.
• Meticulously test mathematical outcomes using Excel and programming to assure the highest quality and compliance standards.

Who You Are (The Must-Haves):

• A minimum of 2 years of demonstrable experience working as a Slot Mathematician or Slot Maths Developer.
• At least 2 years of hands-on development experience in C#.
• A relevant university degree in Mathematics, Statistics, or a closely related discipline.
• A profound and demonstrable understanding of probability theory and its application to gaming.
• A proactive self-starter with the ability to work independently and take ownership of projects.
• Excellent analytical, problem-resolution, and technical decision-making abilities.
• Outstanding communication skills, with experience working as a core member of an internationally based team.
• A genuine passion for technology and a desire to remain at the forefront of the latest industry skills and trends.

Desirable Skills (The Nice-to-Haves):

• Experience with CUDA or OpenCL.
• Database development experience.
• Familiarity with the pixi.js framework.

This role is perfect for a detail-oriented professional who thrives under pressure and understands the importance of accuracy. You will be joining a team of dedicated and hard-working professionals where your contribution will be valued and have a direct impact on the product.

How to Apply:

If you are a talented Slot Developer looking for your next challenge, we would love to hear from you. Click “Apply” below or submit your application, including your CV, to (url removed)

Location: Remote with Adhoc travel to site (London or Birmingham)

Contract Length: 6 Months
Working Pattern: Full Time, via an Umbrella Company

Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you!

What We’re Looking For:

• Previous experience supporting the creation of Agentic AI Agents
• Expertise in Generative AI and LLM selection.
• Strong background in decision support and conversational AI.
• Familiarity with engineering prompts and agent patterns.
• Knowledge of cloud standards and privacy governance.
• Experience in monitoring, quality evaluation, and bias mitigation.
• A commitment to explainability and auditability.
• Passion for integrating human-in-the-loop controls.

What You’ll Be Doing:
As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include:

• Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards.
• Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls.
• Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance.
• Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources.
• Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls.
• Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies.
• Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management.
• Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities.
• Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools.
• Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.

Why Join Us?
This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You’ll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology!

Ready to Make a Difference?
If you’re excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let’s innovate together!

We can’t wait to meet you!

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Location: Remote with Adhoc travel to site (London or Birmingham) Contract Length: 6 Months Working Pattern: Full Time, via an Umbrella Company Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you! What We're Looking For: Previous experience supporting the creation of Agentic AI Agents Expertise in Generative AI and LLM selection. Strong background in decision support and conversational AI. Familiarity with engineering prompts and agent patterns. Knowledge of cloud standards and privacy governance. Experience in monitoring, quality evaluation, and bias mitigation. A commitment to explainability and auditability. Passion for integrating human-in-the-loop controls.What You'll Be Doing: As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include: Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards. Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls. Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance. Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources. Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls. Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies. Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management. Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities. Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools. Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.Why Join Us? This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You'll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology! Ready to Make a Difference? If you're excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let's innovate together! We can't wait to meet you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

In short: A high-growth fintech is looking to bring on a Senior AI Engineer to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do - Build and ship scam risk models and signals (typology classification, risk scoring, decision logic) - Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence - Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows - Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning - Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies - Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows - Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves: - Strong experience shipping applied ML into production (not just experimentation) - Strong Python + ability to write maintainable, tested code - Strong SQL + comfort working directly with messy, high-volume data - Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift - Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves: - Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains - Familiarity with graph/network features and entity resolution style problems - Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration) - Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers - Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join - Work on a mission with real-world impact: stopping scams before money leaves - Build real-time, bank-grade ML systems with ownership end-to-end - Early team + high autonomy + meaningful technical decisions

We’re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.

You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.

This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.

You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.

What You’ll Be Doing

• Design and optimise scalable RAG pipelines and vector search systems
• Orchestrate multi-model AI services with a focus on latency, resilience and performance
• Productionise GenAI workflows and ensure they operate reliably under real usage
• Build and run AI services across AWS and Databricks
• Develop ingestion, embedding and retrieval pipelines
• Deploy containerised workloads via Kubernetes and Helm
• Implement Infrastructure-as-Code using Terraform
• Introduce end-to-end monitoring, tracing and alerting for AI workloads
• Improve inference and retrieval performance while reducing operational cost
• Establish fault-tolerant, scalable infrastructure patterns
• Embed security, evaluation and governance into the AI lifecycle
• Build CI/CD pipelines and automation to support continuous model deployment
• Create reusable platform components to accelerate future AI initiatives

Strong experience in:

• Cloud infrastructure engineering (AWS-focused environments)
• Kubernetes, containerisation, and distributed systems
• Terraform / Infrastructure-as-Code
• CI/CD, automation, and platform reliability
• Running production workloads with high availability requirements

Plus, experience with one or more of the following:

• MLOps or ML platform engineering
• RAG architectures, embeddings, or vector search
• Model serving, observability or performance optimisation
• Data / AI workflow orchestration in Databricks or similar ecosystems

Why Join?

• Work on real-world AI systems operating at scale
• Own platform design decisions and influence long-term architecture
• Blend modern DevOps practices with cutting-edge Generative AI use cases
• Be part of a growing, innovation-driven engineering environment
• Opportunity to define how AI is operationalised across multiple products

If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.

49914MS

INDLON

Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

Forward Deployed Engineer Generative AI / LLM Deployment
GenAI LangChain RAG AWS Kubernetes Customer-Facing

We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.

Key Responsibilities

• Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
• Lead production deployment on AWS, Azure or GCP
• Build scalable backend systems in Python (JavaScript a plus)
• Manage infrastructure using Kubernetes, Docker, Terraform
• Own end-to-end technical delivery across multiple client deployments
• Conduct debugging, optimisation and root cause analysis
• Communicate complex AI concepts to technical and non-technical stakeholders

Requirements

• Strong experience building and deploying LLM / Generative AI solutions
• Hands-on with LangChain, RAG, multi-agent systems
• Cloud ML deployment experience (AWS, Azure or GCP)
• DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
• Customer-facing technical delivery experience
• Background in Machine Learning, Data Science or AI Engineering

This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.

Apply now to work at the forefront of enterprise AI deployment and agentic systems.

Location: Home based / RemoteDepartment: JMG GroupJob Type: Full timeContract Type: Permanent

JMG Group is a Private Equity backed insurance broking group based in Guiseley, West Yorkshire with strong regional office representation around the UK. We are a top 30 broker, growing rapidly having completed numerous acquisitions since our MBO in 2020. We place over £350m+ of Gross Written Premium into the market annually and our teams are very well respected in the market. Customer excellence is the backbone of our business, which means that our people, systems, and processes are central to our success

The Role

We’re accelerating our data strategy to support sustained organic and acquisitive growth. As Data Manager, you will own the group’s data platform, governance, and analytics enablement-ensuring reliable, secure, and timely management information (MI) and unlocking value with SQL, Power BI, and applied AI. The role blends hands on technical leadership with stakeholder engagement across the Group.

Our environment

You’ll work closely with colleagues across the IT team and wider Group functions; the role is hands on and outcomes-focused, supporting leadership with consistent, actionable insights as we scale.

Key Responsibilities

• Data platform ownership: Lead the design, operation, and evolution of our SQL Server data warehouse. Establish best practice standards for schema design and performance tuning in SQL Server/SSMS.
• ETL/ELT & integration: Define and manage pipelines (e.g., SSIS & Power Query) that consolidate sources including core broking systems (e.g., Acturis) and newly acquired businesses; deliver prompt, accurate, and comprehensive integration into group reporting.
• Power BI enablement: Own datasets, semantic models, DAX development, row-level security, gateway/configuration, and performance. Partner with BI Developers/Analysts to deliver automated, actionable dashboards for leadership and frontline teams.
• AI for analytics: Introduce and steward responsible AI use to enrich insights and automate MI.
• Data governance: Implement policies and controls for data quality, develop and maintain step-by-step documentation of key weekly and monthly processes, embed validation and exception reporting so errors are identified and resolved promptly.
• Stakeholder management: Build strong relationships across group, including Finance, Compliance, Operations, Insurer Relations and business units; translate requirements into robust data solutions and ensure MI is understood and used.
• Team leadership: Mentor, develop and utilise a small team (BI Developers/Analysts) to deliver data strategy.
• Acquisition reviews: identify potential synergies.
• Roadmap & delivery: Maintain a roadmap covering platform improvements, AI use-cases, new acquisitions integration, and reporting simplification; track benefits and adoption.

Key Skills Required

• Advanced SQL: stored procedures, views, window functions, temp tables, CTEs, query optimisation; confident with advanced SSMS query writing.
• Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance).
• Advanced Excel: advanced formulas, Pivot tables, Power Pivot.
• ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema).
• Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows.
• Proven track record integrating disparate systems post-acquisition and delivering reliable and consistent group MI.
• Excellent communication at all levels across the business from entry level to director.
• Stakeholder engagement, and the ability to translate complex data into clear business actions.
• Team management experience: Confident in leading, managing and developing a small team of analysts.

Nice to Have skills:

• Experience with Acturis data extraction and automation of broking MI.
• Microsoft Fabric/Azure experience.
• Implementation, management and usage of API pipelines for reporting.
• Experience of working in the insurance industry.
• SSIS administration; Power BI governance at tenant level.
• Project management experience.

Qualifications

• Degree in a quantitative field (or equivalent experience).
• Microsoft certifications (DP-203, PL-300) advantageous.
• Evidence of continuous learning in data engineering, BI, and AI.

What we offer

• Competitive salary commensurate with level of experience
• Hybrid working options considered following training & probation completion
• Free parking
• Company Pension scheme
• Generous holiday entitlement & Birthday off
• Death in service scheme

REF-

400 per day - inside IR35

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

The Opportunity

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

Your Impact

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

Your Experience

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

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

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

Position Highlights:

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

Candidate Assessment Process:

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

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

Ideal Candidate Profile:
Academic and Professional Requirements:

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

Technical Expertise:

• Advanced Proficiency in:

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

Preferred Background:

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

Personal Attributes:

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

What We Offer:

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