In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client’s Data Analytics platform.

You will:

Work with both the business teams data scientists and engineers to design, build, optimise and maintain production grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big Query

Work with finance, actuaries, data scientists and engineers to understand how the client can make best use of new internal and external data sources

Work with the client’s delivery partners at to ensure robustness of Design and engineering of the data model/ MI and reporting which can support their ambitions for growth and scale

BAU ownership of data models, reporting and integrations/pipelines

Create frameworks, infrastructure and systems to manage and govern data assets

Produce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting etc.

Work with the broader Engineering community to develop the client’s data and MLOps capability infrastructure

Ensure data quality, governance, and compliance with internal and external standards.

Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy.

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.

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Why choose us?

Choosing to work for SMS means choosing to make a difference.We are changing how businesses and consumers use energy for the better, helping achieve a greener, sustainable, and more affordable energy system for everyone. Through our range of innovative energy solutions, we are delivering the future of smart energy working closely with private and public sector partners we are playing a critical role in transforming and decarbonising the UK economy by 2050.

What’s in it for you?

• 25 personal holiday days per year (with additional 8 public holidays) increasing to 30 personal days after 5 years of service (includes options to buy and sell)
• Hybrid working options (for some positions).
• Enhanced Maternity leave. Paternity and Adoption leave.
• 24/7 free and confidential employee assistance service.
• Simply Health plan offers a wide variety of benefits from cashback on everyday healthcare treatments like optical, dental and physio treatments. Discounted gym memberships and free 24/7 online GP.
• Life Insurance (4 x annual salary)
• Pension matching scheme (up to 5% of salary)

Visit Our People page

What’s the role?

Step into a role where strategy meets engineering excellence. As our Lead Enterprise AI Engineer, youll be the driving force turning bold business opportunities into production-ready AI solutions. Youll shape intelligent agents, craft next-generation conversational experiences using Microsoft Copilot and Databricks Mosaic AI, and architect the Semantic Layer that ensures our models deliver accurate, trusted insights every time.

If youre ready to take ownership of an organisations AI futureand build the systems that make it realthis is your stage.

You will report to the Data, Analytics and AI Director and work remotely on a full-time, 40-hour contract.

Please note: That travel is required, to have face to face meeting with your line manager.

Key responsibilities:

AI Solution Development & Agent Building

• Design, build, and deploy low-code and pro-code AI agents using Microsoft Copilot tools to automate business workflows (e.g., HR queries, IT support, operational data retrieval).
• Develop custom RAG (Retrieval-Augmented Generation) solutions within Databricks to allow LLMs to reason over proprietary SMS documents and data.
• Integrate AI agents with enterprise systems (Dynamics 365, SharePoint, etc.) via APIs and Power Automate connectors.

Semantic Modelling & Databricks Genie Curation

• Own the creation and maintenance of Databricks Genie Spaces. This involves translating complex database schemas into business-friendly semantic models.
• Define and govern standard metrics, dimensions, and synonyms within Unity Catalog to ensure the AI “speaks the language of the business.”
• Continuously monitor Genie performance, reviewing “human feedback” on answers to refine the semantic model and improve accuracy over time.

Business Engagement & Prototyping

• Partner with business stakeholders (Finance, Operations, Commercial) to decompose high-level use cases into technical requirements.
• Rapidly prototype AI solutions to demonstrate value and gain quick traction within business units.
• Act as a technical evangelist, demonstrating to non-technical teams how to interact with Genie spaces and Copilots effectively.

AI Operations (LLMOps) & Governance

• Implement monitoring frameworks to track the cost, latency, and quality of AI model outputs.
• Ensure all AI solutions adhere to the organisation’s data governance and security standards (e.g., preventing data leakage via LLMs).
• Manage the lifecycle of AI models and agents from development through to production and retirement.

To be considered for this role, we would love you to have:

• Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field, or equivalent industry experience.
• Deep hands-on experience with Azure/Microsoft Fabric ecosystem (specifically Copilot Studio & Power Platform) and Databricks (SQL, Unity Catalog, Mosaic AI).
• Strong ability to design data models for analytics. Experience with defining metrics layers (e.g., DBX semantic layer or Databricks Genie) is essential.
• Practical experience with Large Language Models (LLMs), Prompt Engineering, and RAG architectures.
• Proficient in Python (for data manipulation and API interaction) and SQL (for data modelling).
• Experience working with REST APIs and connecting disparate business systems.
• Ability to explain technical AI concepts to non-technical business users and translate their feedback into code.

#LI-Remote

AI Prompt Engineer - 12 Month Contract - Outside IR35

Role Description:

Harvey Nash’s Pub Sec client are seeking an AI Prompt Engineer to design, develop, and optimise prompt-based solutions for AI systems.

This role will design and optimise AI prompts for extracting data from forms, fine-tune models for accuracy, automate end-to-end workflows, and manage production deployments. The ideal candidate will ensure robust, scalable, and secure AI solutions that streamline document processing

The initial focus of the role will look at building on exiting solution to extract structured data from various forms and documents. This role combines expertise in natural language processing (NLP), prompt engineering, and workflow automation to enable accurate and efficient data processing.

Key Responsibilities:

• Prompt Design & Optimisation:

• Develop and refine AI prompts to accurately extract data fields from structured and semi-structured forms.

• Test and iterate prompts for different document types and languages to maximize accuracy and reliability.

• Ensure prompt development is reusable and scalable across different use case scenarios

• Work closely with developers, data scientists, and business analysts to align solutions with business needs.

• Fine-tune AI models to improve performance across diverse document types and languages.

• Workflow Automation

• Develop automated pipelines for document ingestion, data extraction, and validation.

• Integrate AI solutions with OCR tools and enterprise systems for seamless processing.

• Deployment & Support

• Manage deployment of AI solutions into production environments.

• Monitor system performance, troubleshoot issues, and provide ongoing support.

• AI Model Integration*:

• Collaborate with data scientists and developers to integrate prompt-based solutions into existing AI/ML pipelines.

• Ensure compatibility with OCR tools and document processing systems.

• Data Quality & Validation:

• Implement validation logic to ensure extracted data meets quality standards.

• Work with QA teams to identify and resolve extraction errors.

• Research & Innovation:

• Stay updated on advancements in prompt engineering, LLMs, and document AI technologies.

• Experiment with new techniques for improving extraction performance and reducing manual intervention.

• Collaboration & Documentation:

• Partner with business analysts to understand form structures and data requirements.

• Document prompt strategies, workflows, and best practices for internal knowledge sharing.

• Document guidance to support deployment approach and ongoing support and maintenance activities

Required Skills & Qualifications

• Strong understanding of Large Language Models (LLMs) and prompt engineering principles.
• Experience with document AI, OCR technologies, and data extraction workflows.
• Proficiency in Python or similar languages for automation and integration tasks.
• Familiarity with APIs and cloud-based AI services (e.g., Azure OpenAI, AWS, Google AI).
• Excellent problem-solving skills and attention to detail.
• Background in NLP, machine learning, or data science.
• Experience with form processing systems in finance, healthcare, or enterprise environments.
• Knowledge of data privacy regulations and secure handling of sensitive information.
• Demonstrated success in delivery across both distributed and hybrid on-premises and cloud technology estates.
• Experience in managing both agile and waterfall projects.
• Excellent interpersonal skills, influencing and communication skills.
• Ability to apply a broad understanding of IT infrastructure and interdependencies to create effective, risk-minimising migration plans.
• The candidate will have an awareness of Digital First Service Standards, and Government Digital Services (GDS).

Location: UK (Remote-first)
Level: Senior / Principal / SVP-equivalent
Compensation: Highly competitive base + discretionary bonus

The Opportunity

We are assisting with the hire for a Senior Golang Engineer to join a small, elite engineering team within a Tier 1 investment bank building production-grade AI platforms at scale.

This is a hands-on engineering role, suited to someone who enjoys building systems, actively attacking them, uncovering weaknesses, and redesigning them with security embedded from day one.

The team operates independently with a startup mindset: modern tooling, minimal bureaucracy, and a strong bias toward shipping real products.

What You’ll Be Doing

• Building secure, production AI platforms using Golang
• Actively breaking and stress-testing systems to identify vulnerabilities
• Conducting ethical hacking and attack simulations on real applications
• Securing AI-specific attack surfaces (e.g. prompt injection, model misuse, data leakage)
• Designing and building security tooling and frameworks
• Embedding security early while maintaining engineering velocity
• Setting engineering and security standards at a senior level
• Mentoring engineers on secure-by-design development practices

What We’re Looking For

• Strong hands-on experience with Golang in production environments
• Background in application, product, or platform security
• Proven experience securing real systems, not just advising on them
• Ability to think like both a builder and an attacker
• Cloud-native experience (containers, Kubernetes, modern infrastructure)
• Interest in AI / GenAI / LLM security (commercial experience preferred, not essential)

No prior financial services experience is required.
Engineers from big tech, scale-ups, and high-growth startups are strongly encouraged to apply.

Why This Role Is Different

• This is not a compliance or governance role
• You’ll be writing and shipping code, not policies
• Security is treated as a product and engineering problem, not a blocker
• High visibility, genuine autonomy, and long-term impact

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

Principal Software Engineer - AI & Innovation

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

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

A truly exciting opportunity to influence and create something new.

Key Responsibilities

• Build innovative MVPs to validate ideas and accelerate learning
• Lead the design and implementation of scalable, high-performance software systems
• Collaborate closely with Product, Design, QA, and Engineering teams
• Evaluate, experiment and recommend new technologies, frameworks and tools
• Mentor and coach engineers to create a culture of innovation and continuous improvement
• Oversee code reviews and ensure delivery of high-quality maintainable software
• Troubleshoot and resolve complex technical challenges
• Contribute to strategic planning and align technology decisions with business goals

Essential Skills

• Significant experience in a senior software engineering position
• Proven experience delivering innovative AI solutions
• Practical knowledge of AI, including building and training LLMs
• Strong understanding of Microservices and modern web architectures
• Deep expertise in programming languages and frameworks such as Java and Spring Boot
• Extensive experience designing large-scale systems
• Strong knowledge of AWS cloud architecture and services
• Excellent problem-solving skills and a results-driven mindset
• Experience mentoring and guiding technical teams to deliver

Desirable Experience

• DevOps practices and CI/CD pipelines
• Secure-by-design development and security best practices
• Contributions to open-source projects

Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices.
Salary up to £65k plus company benefits.

About Us

Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years’ experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers.

At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you’re valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you’ll be trusted, challenged, and empowered to grow.

We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you’re passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you.

Glassdoor score of 4.7

96% of our staff would recommend Triad to a friend

100% CEO approval

See for yourself some of the work that makes us all so proud:

Helping law enforcement with secure intelligence systems that keep the UK safe

Supporting the UK’s national meteorological service in leveraging supercomputers for next-level weather forecasting

Assisting a UK government department responsible for consumer product safety with systems to track unsafe products

Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport

Role Summary

Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes.

Key Responsibilities

Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS.

Create and manage data models that support efficient storage, retrieval, and analysis of data.

Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions.

Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure.

Develop, optimise and maintain robust data pipelines using Apache Airflow.

Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use.

Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements.

Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability.

Identify data quality issues and implement data validation and cleansing processes.

Maintain clear and comprehensive documentation covering data pipelines, models, and best practices.

Work within a continuous integration environment with automated builds, deployments, and testing.

Skills and Experience

• Strong experience designing and building data pipelines on cloud platforms, particularly AWS.
• Excellent proficiency in developing ETL processes and data transformation workflows.
• Strong SQL skills (postgresql) and advanced Python coding capability (essential).
• Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential).
• Understanding of Terraform codebases to create and manage AWS infrastructure.
• Experience developing, optimising, and maintaining data pipelines using Apache Airflow.
• Familiarity with distributed data processing systems such as Spark or Databricks.
• Experience working with high-performing, low-latency, or large-volume data systems.
• Ability to collaborate effectively within cross-functional, agile, delivery-focused teams.
• Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy.

Qualifications & Certifications

• A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable).
• Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK.

Triad’s Commitment to You

As a growing and ambitious company, Triad prioritises your development and well-being:

• Continuous Training & Development: Access to top-rated Udemy Business courses.
• Work Environment: Collaborative, creative, and free from discriminatioBenefits:
  • 25 days of annual leave, plus bank holidays.
  • Matched pension contributions (5%).
  • Private healthcare with Bupa.
  • Gym membership support or Lakeshore Fitness access.
  • Perkbox membership.
  • Cycle-to-work scheme.

What Our Colleagues Have to Say

Please see for yourself on Glassdoor and our “Day in the Life” videos at the bottom of our Careers Page.

Our Selection Process

After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for:

1. A technical test including numerical, logical and verbal reasoning
2. A technical interview with our consultants
3. A management interview to assess cultural fit

We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation.

Other Information

If this role is of interest to you or you would like further information, please contact Ryan Jordanand submit your application now.

Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.

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