Reporting To: Head of Analytics / Data Lead
Division: Data & Analytics
Location: UK - Remote first (office in Belfast optional)
Contract Type: Permanent
Salary: £50,000 - £60,000 GBP
Working Hours: Candidates should be able to work until 6:30-7:00 pm GMT to align with PST teams

Job Summary

We are seeking a Senior Analytics Engineer - a proactive, self-directed professional who goes beyond executing tickets. This is a hands-on role for someone who can analyse systems, identify issues, propose solutions, and help guide priorities across a complex data ecosystem.

Key Responsibilities

• Build clean, maintainable dbt models, and migrate custom SQL from Tableau into dbt pipelines.
• Structure data marts and help transition dashboards into robust, model-driven solutions.
• Handle complex, messy, or disparate data, reconciling inconsistencies across systems.
• Ensure reliability of reporting, KPIs, and downstream data outputs despite upstream variability.
• Collaborate closely with Revenue, RevOps, and other non-technical or semi-technical stakeholders.
• Participate in stakeholder interviews and contribute to prioritisation and translation of business needs into technical work.

Required Skills & Experience

• Deep dbt expertise, including model performance considerations and grain selection.
• Strong data modelling & architecture skills, able to navigate complex, tangled data environments.
• SQL mastery, able to complete complex transformations and pass technical assessments.
• Hands-on experience with Snowflake, Tableau (as a downstream consumer), Segment, Fivetran, and RDS.
• 7-10+ years in data-focused roles, comfortable operating in ambiguity and legacy systems.
• Excellent communication skills with technical and non-technical stakeholders.

Desirable / Nice-to-Have:

• Experience with dbt MetricFlow or semantic layer implementations.
• Background working in distributed, global teams (LATAM, US, UK).

Candidate Profile

• Pragmatic and self-directed, thrives in messy ecosystems without requiring a full architecture rebuild.
• Comfortable balancing short-term triage with longer-term strategic thinking.
• Able to work autonomously and proactively guide projects to resolution.

Benefits

• Private medical insurance
• Westfield Health Cash Plan
• Car salary sacrifice scheme
• Working from home allowance (£1,000 per year)
• Employer Pension contribution (4%)
• Pension salary sacrifice (from Jan 2026)
• Life Insurance
• Skills for Me allowance for personal development
• 33 days holiday (including bank holidays)
• 3 statutory days (New Year’s Day, Christmas Day, May Bank Holiday)

Hiring Process

HackerRank assessment (~90 minutes, to be completed within 48 hours).Technical interview.Standard recruitment process.

Skills:
Data Snowflake SQL Tableau DBT

Benefits:
Work From Home

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k

Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?

You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks.

As a Machine Learning Engineer you’ll join a cross functional team, collaborating with Data Scientists and Software Engineers on complex insurance underwriting and pricing systems. They’ll be a range of projects including data modelling and implementing Machine Learning algorithms, with Greenfield projects in the pipeline around forecasting and pricing.

There’s a collaborative team Agile environment where you’ll participate in technical discussions and have your voice heard, there’s also opportunities to mentor other more junior team members if desired.

Location / WFH:

The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; you can also work at times that suit you.

About you:

You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS

You have experience of across the full lifecycle of ML model development including into production

You’re collaborative, enjoy problem solving and working with others to overcome technical challenges

You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns

Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential

What’s in it for you:

As a Machine Learning Engineer (Python AWS) you will earn a competitive package:

Up to £90k salary

Remote working including flexible working hours

Workplace nursery scheme

Enhanced maternity package

25 days holiday plus ability to buy or sell 5 days p/year + extra ‘duvet day’

Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme

Weekly Yoga and monthly Acupuncture sessions, Headspace membership

Diverse, inclusive team environment with a range of support networks

A range of other perks including Perkbox, cycle to work, season ticket loan

Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) 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.

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Software Engineer / Developer (JavaScript / TypeScript Node) Remote UK to £50k

Would you like to work on complex and interesting AI based systems with a team of tech entrepreneurs?

You could be joining a growing start-up that is utilising Machine Learning and AI technology to revolutionise fish farming, improving fish health and growth; their carbon neutral technology is already making a difference in Scotland, Chile, Canada, Australia, Spain and Norway and the company has ambitious growth plans.

As a Software Engineer you will work on a range of projects across the technology stack, primarily using JavaScript / TypeScript and Node.js (with React on the front end). You’ll be developing software solutions that will be used by farms globally, building complex backend systems as well as developing data visualisations and dashboards that transform real time data from the IoT platform into actionable insights.

There are excellent career progression opportunities as the company continues to scale; you’ll be an integral part of a small, distributed team.

Location / WFH:

You can work from home remotely from anywhere in the UK, there is also flexibility to work abroad for periods throughout the year and flexible start and finish times. There are two company ‘kick-off’ meetings per year at great destinations for a week at a time.

About you:

You have strong JavaScript / TypeScript skills

You also have experience of using Node

You’re proactive, keen to contribute ideas and continually develop your skills

You’re able to work independently whilst collaborating with a remote, international team in an Agile environment

You’re likely to be degree educated in a STEM discipline

What’s in it for you:

Salary to £50k

Remote working (including abroad)

Paid for training and certifications

Home office budget

Bi-annual company kick-offs

Pension

Apply now to find out more about this Software Engineer / Developer (JavaScript / TypeScript Node.js) remote 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.

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Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions. Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £1495, or, £124.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now’ to begin your new data career!

Flight Software Engineer
Up to 65,000
Competitive Benefits Package
Remote Working
Permanent

Candidates must be eligible to obtain a SC clearance. Candidates must have right to workin the Uk, no sponsorship is offered.

We are looking for a talented Flight Software Engineer to join a fast-growing AI and robotics safety start-up. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems.

The company is developing advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical.

You will play a key role in developing software components that enable safe and reliable operation of autonomous robotic systems within the company’s robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards.

We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical problems. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage.

Key Responsibilities:

Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems
Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform

Key Skills

Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Robotics, Electrical Engineering or a related discipline

Desirable Skills

Experience working on safety-critical or mission-critical systems

What you get in return:

Salary Up to 65,000
Generous Holiday Allowance
Salary Sacrifice Pension with 5% matched company contribution
EV Car Scheme

This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Interested?

Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on or call on (phone number removed).

DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Flight Software Engineer Up to £65,000 Competitive Benefits Package Remote Working Permanent Candidates must be eligible to obtain a SC clearance. Candidates must have right to workin the Uk, no sponsorship is offered. We are looking for a talented Flight Software Engineer to join a fast-growing AI and robotics safety start-up. The business is expanding its engineering team as it continues to build cutting-edge assurance systems for AI-enabled robotics and autonomous systems. The company is developing advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably and with optimal performance. Their solutions focus on robotics and AI applications where reliability and safety are critical. You will play a key role in developing software components that enable safe and reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical problems. This is an opportunity to work on cutting-edge robotics technology while helping shape products from an early stage. Key Responsibilities: \* Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems \* Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform \* Conduct testing, optimisation and validation to ensure software meets safety and performance requirements \* Contribute to improving development processes, tooling and methodologies for robotics systems \* Stay up to date with advancements in robotics software, algorithms and frameworks and apply them within the product \* Mentor junior engineers and support knowledge sharing across the engineering team Key Skills \* Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Robotics, Electrical Engineering or a related discipline \* Proven experience developing software for robotic or autonomous systems \* Strong proficiency in C/C++ and Python \* Experience with robotics frameworks such as ROS, Gazebo or MoveIt \* Strong understanding of robotics algorithms including perception, planning, control and decision-making \* Experience with modern software development practices such as Agile, CI/CD and Test-Driven Development \* Excellent analytical, debugging and problem-solving skills \* Strong communication and collaboration skills Desirable Skills \* Experience working on safety-critical or mission-critical systems \* Familiarity with safety standards such as DO-178C, ISO 26262 or IEC 61508 \* Experience working in robotics, autonomous systems or aerospace environments \* Experience mentoring or supporting junior engineers What you get in return: Salary Up to £65,000 Generous Holiday Allowance Salary Sacrifice Pension with 5% matched company contribution EV Car Scheme Cycle to Work Scheme Opportunity to work on cutting-edge AI, robotics and safety technologies in a fast-growing start-up environment This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV to Chrissie Rehman at DCS Recruitment via the link provided. Alternatively email me on or call on (phone number removed). DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

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? 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 £28,000-£45,000. 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. We Get You Hired 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.

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? 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 £28,000-£45,000. 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. We Get You Hired 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.

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

Design and build LLM-powered applications using Python and Generative AI frameworks

Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

Engineer scalable AI infrastructure across Azure and GCP environments

Implement prompt engineering, model evaluation and LLMOps monitoring

Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

Strong Python development experience

Experience building production LLM or Generative AI applications

Knowledge of RAG pipelines, prompt engineering and vector search

Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

Exposure to LLMOps, model evaluation or monitoring

Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

Conversational AI or AI assistant platforms

Multi-agent architectures

Responsible AI, AI ethics or guardrail design

Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

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Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

* Design and build LLM-powered applications using Python and Generative AI frameworks

* Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

* Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

* Engineer scalable AI infrastructure across Azure and GCP environments

* Implement prompt engineering, model evaluation and LLMOps monitoring

* Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

* Strong Python development experience

* Experience building production LLM or Generative AI applications

* Knowledge of RAG pipelines, prompt engineering and vector search

* Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

* Exposure to LLMOps, model evaluation or monitoring

* Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

* Conversational AI or AI assistant platforms

* Multi-agent architectures

* Responsible AI, AI ethics or guardrail design

* Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies

Backend Software Engineer / Developer (TypeScript Node Data) Remote UK to £90k

Are you a data savvy Software Engineer with strong backend development experience using TypeScript and Node?

You could be progressing your career in a senior, hands-on Backend Software Engineer role at a scaling Fintech who have built an energy trading platform to revolutionise energy buying for large industrial and commercial users.

As a Backend Software Engineer you’ll help to build a seamless digital experience that makes complex energy systems simple, powerful and intuitive. You’ll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms.

There’s a collaborative team environment where you’ll input into technical discussions and decision making.

Location / WFH:

There’s a remote first policy so you can work from home on a full time basis, with the caveat that you’ll meet up with the team in London from time to time (approximately once a quarter, paid for).

Please note you must be UK based and have the right to work.

About you:

You have strong software engineering experience across the full development lifecycle

You have expertise with backend TypeScript, Node, Python and APIs

You have a good knowledge of AWS

You have experience with PostgreSQL, DBT and Amazon Redshift, and have had exposure to data pipelines, ETL, data modelling and LLMs

You have a good understanding of event driven systems

You’re comfortable working with complex, data rich environments and have previous experience within Fintech, Payments, eCommerce or similar with high throughput systems

You’re happy to do some brownfield, refactoring and maintenance work alongside new projects

You’re collaborative with great communication skills

What’s in it for you:

Salary to £90k

Remote working

Impactful role with complex challenges

Great career growth opportunities as the company scales

Apply now to find out more about this Backend Software Engineer / Developer (TypeScript Node Data) 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.

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Program Scope: Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems Development of new AI products for the Conversational Banking Lab, including but not limited to: Agent summarisation - bespoke features to summarise nuanced conversations App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way ML & AI Engineer . Must haves 1. Python literacy - min 2years+ working on production grade LLM based applications 2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture 3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring 4. Data engineering - scaled data pipelines using python/spark. GCP native services: BQ, Spanner, Dataflow, Firestore Nice to haves 1. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks 2. Data ontologies - graphical approaches to data storage + retrieval • Exposure to Agile/Scrum methodologies

Tech Focus: Azure / OpenAI / Copilot

Rate: Inside IR35: £500-£600/day

Location: Fully Remote

This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life.

Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands-on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development.

The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential.

What We Are Looking For

• Proven, practical AI development experience - building solutions that have delivered real business outcomes
• Experience developing chatbots, agentic AI, or similar applied AI applications
• Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption
• Scripting experience - Python, R, or Java.
• Hands-on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments)
• Experience with Copilot (or similar tools)
• Experience with OpenAI models

Why This Role?

This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership.

If this sounds like the right fit and you’d like to find out more, please apply directly and we’ll be in touch.

I am partnering with a highly respected financial services organisation to hire an Applied AI / Automation Engineer on a 12-month fixed-term contract. The organisation has a strong track record of innovation, operational excellence, and a culture that values collaboration, flexibility, and diversity. This opportunity sits within a modern Data Science team and will play a pivotal role in designing and building an AI-enabled reporting and reconciliation platform that will transform the client's Fund Administration processes. Role Overview The successful candidate will report into the Head of Data Science and work closely with a dedicated Product Manager in the Fund Administration team. This is a hands-on engineering role where you will architect, build, and deliver production-grade automation solutions in a real-world financial environment. Key Responsibilities Lead the design and delivery of an automated reporting and reconciliation platform. Build intelligent workflows covering data ingestion, validation, reconciliation, and NAV calculation. Establish exception-handling and human-in-the-loop processes where required. Ensure accuracy, auditability, operational resilience, and clear observability across the platform. Work closely with operations and product stakeholders to translate complex workflows into technical solutions. Evolve the solution into a robust internal product with clear maintainability and scalability. Deliver a production-ready automation platform within 12 months, reducing manual effort and increasing transparency. Qualifications & Experience Proven experience in automation engineering and applying AI in operational settings. Strong hands-on capability in Python and SQL . Experience building data pipelines, automation systems, and integrating APIs. Familiarity with production engineering best practices (testing, CI/CD, monitoring). Ability to work cross-functionally with non-technical teams. Experience in reconciliation, accounting, or controlled financial workflows (advantage). Experience working in regulated or audit-sensitive environments. Exposure to workflow orchestration tools. Experience productising internal tools (TypeScript, React, Next.js or similar). TPBN1\_UKTJ

Tech Focus: Azure / OpenAI / Copilot Rate: Inside IR35: £500-£600/day Location: Fully Remote This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life. Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands‑on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development. The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential. What We Are Looking For Proven, practical AI development experience - building solutions that have delivered real business outcomes Experience developing chatbots, agentic AI, or similar applied AI applications Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption Scripting experience - Python, R, or Java. Hands‑on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments) Experience with Copilot (or similar tools) Experience with OpenAI modelsWhy This Role? This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership. If this sounds like the right fit and you'd like to find out more, please apply directly and we'll be in touch

Your new company An established and fast‑growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high‑speed fibre networks, the business is committed to delivering world‑class broadband services to communities and supporting a data‑driven future. You'll be joining a forward‑thinking environment that values innovation, collaboration, and continuous improvement. Your new role As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation's enterprise data platform. Working within a specialist Data Analytics & AI team, you'll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data‑led decision‑making across the business.You will translate data architecture strategies into high‑quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well‑structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you'll work closely with analysts, data consumers, and business stakeholders, enabling them through well‑designed data models and providing technical support where needed. You'll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team. What you'll need to succeed Proven experience delivering cloud‑based data engineering solutions, ideally centred around Snowflake Strong skills in SQL, Python, and dbt for data modelling and transformation Experience with Snowflake RBAC and performance optimisation Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar Understanding of cloud technologies (AWS preferred) Knowledge of data modelling, governance principles, and best‑practice engineering standards Experience supporting BI/reporting tools such as Power BI Solid grounding in version‑controlled development and CI/CD practices (git)Desirable: Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call‑centre data Experience in data platform migrations, data validation, and quality assurance Background in enabling business teams through training, documentation, or adoption support Familiarity with Terraform or Infrastructure‑as‑Code A mindset for continuous learning and staying up to date with modern data stack tooling What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Software Engineer with key skills in either Python, Go or Typescript and experience operating data systems at scale is sought on a remote basis by a market leading Fintech. With recent investment this Software Engineer will be joining a dynamic, autonomous team of six tasked with scaling new product functionality and greenfield solutions. As such proven experience working in a product led, fast paced start or scale up would be hugely beneficial. This role would suit an experienced software engineer who relishes using the latest technology to build greenfield solutions that quickly solve business problems with the ability to understand and translate business requirements into technical solutions. This Software engineer should have most of the following key skills - Strong commercial software engineering experience - Go, Python, Typescript, node etc - Solid rational database exposure - MySQL, Postgres - A well rounded skill set in streaming systems - Kafa, Kinesis etc - Strong AWS deployment exposure - Understanding of column-oriented databases - BigQuery, ClickHouse etc - A product focussed, business first approach to engineering - Experience working in a fast paced product lead environment - Experience operating data systems at scale - Any experience working in a FinTech or regulated industry - Cloud native architecture exposure - AWS massively preferred - Solid pipeline automation skills (CI/CD) In return this Software Engineer will receive: - Base salary of up to £100,000 - Long term remote working (one day a month on site max) - Generous equity stake with a clear business exit strategy - Bonus scheme - Private healthcare - Flexible working hours - Clear progression and personal development opportunities - 25 days annual leave plus bank holidays - Private pension - Regular salary reviews So if you are a software engineer who gets excited about greenfield development and playing a key role in building high traffic, enterprise grade applications for household names then please apply now to be considered. Software Engineer Up to £100,000 Product, FinTech, Kafka, data systems, AWS, Clickhouse, CI/CD, cloud native Python, JavaScript, node, express, react, aws, serverless, cloud, cloud native, Typescript TPBN1\_UKTJ

ML & AI Engineer – Python, LLM, RAG, GCP We are seeking a Machine Learning / AI Engineer to help build and deploy production-grade generative AI and LLM systems powering next-generation conversational digital experiences. This role focuses on designing and engineering LLM applications, RAG pipelines and scalable AI infrastructure using Python and Google Cloud (GCP). You will work on cutting-edge agentic AI and conversational AI platforms, building services that support intelligent assistants and automated customer interactions. Key Responsibilities \* Build and deploy LLM-based applications and generative AI solutions \* Develop RAG (Retrieval Augmented Generation) pipelines \* Engineer scalable microservices-based AI platforms \* Design and maintain data pipelines using Python and Spark \* Implement CI/CD pipelines for machine learning and AI systems \* Work with GCP services including Vertex AI, BigQuery, Dataflow, Spanner and Firestore \* Contribute to prompt engineering, LLM evaluation and monitoring \* Build integrations between AI agents and enterprise systems Required Skills \* Strong Python development experience \* Experience building LLM or generative AI applications \* Knowledge of RAG pipelines and prompt engineering \* Experience with microservices architecture and CI/CD \* Hands-on experience with Google Cloud Platform (GCP) \* Familiarity with Spark or large-scale data pipelines Nice to Have \* Experience with LangChain, LangGraph or agentic AI frameworks \* Knowledge of multi-agent architectures or AI orchestration \* Experience building production AI platforms This is an opportunity to work on large-scale AI engineering challenges, delivering production AI systems and intelligent digital assistants using modern LLM, generative AI and cloud-native technologies

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

• Design and build LLM-powered applications using Python and Generative AI frameworks
• Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
• Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
• Engineer scalable AI infrastructure across Azure and GCP environments
• Implement prompt engineering, model evaluation and LLMOps monitoring
• Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

• Strong Python development experience
• Experience building production LLM or Generative AI applications
• Knowledge of RAG pipelines, prompt engineering and vector search
• Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
• Exposure to LLMOps, model evaluation or monitoring
• Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

• Conversational AI or AI assistant platforms
• Multi-agent architectures
• Responsible AI, AI ethics or guardrail design
• Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies.

Senior Salesforce OMS Developer - £500 (mostly remote, client in Nottingham) - 6 months

Salesforce & OMS Expertise

• 5+ years of Salesforce development experience
• hands-on Salesforce OMS experience in retail/E-commerce programs
• Strong knowledge of:

• Salesforce OMS order life cycle
• Fulfillment orchestration
• Inventory availability and reservation
• Returns and cancellations

Technical Skills

• Apex, SOQL, SOSL
• Lightning Web Components (LWC)
• Salesforce Flows and Process Automation
• REST/SOAP APIs and event-based integrations
• Git-based source control and CI/CD pipelines

Role

The Senior Salesforce OMS Developer is responsible for designing, developing, and delivering scalable Salesforce Order Management (OMS) solutions that support complex omnichannel retail operations. The role works closely with Functional Architects, Product Owners, and cross-tribe teams to deliver high-quality, production-ready OMS capabilities using Salesforce best practices.

Salesforce OMS Development

• Design and develop Salesforce Order Management (OMS) features including order life cycle, fulfillment orchestration, inventory visibility, returns, and cancellations
• Build and customize Apex classes, triggers, Lightning Web Components (LWC), Flows, and OmniStudio components where applicable
• Implement event-driven and API-based integrations with upstream and downstream systems (Commerce, ERP, WMS, Inventory services)

Solution & Technical Design

• Collaborate with Functional and Solution Architects to translate functional designs into technical implementations
• Contribute to low-level design (LLD) and ensure alignment with enterprise integration and security standards
• Ensure OOTB-first approach and minimize customizations where possible

Agile Delivery

• Participate actively in PI planning, sprint planning, backlog refinement, and sprint reviews
• Own technical delivery of stories end-to-end, including development, unit testing, and deployment
• Support Scrum of Scrums/cross-squad dependencies as required

Quality & Performance

• Write unit tests to meet Salesforce code coverage and quality standards
• Ensure performance, scalability, and reliability of OMS solutions
• Support SIT, UAT, and production releases, including defect triage and fixes

DevOps & Environment Management

• Work with Salesforce DevOps tools (SFDX, Salesforce CLI, Git, CI/CD pipelines)
• Support multi-environment deployments (DEV - SIT - UAT - PROD)
• Follow release and change management processes

Preferred Qualifications

• Salesforce certifications:

• Salesforce Platform Developer I/II
• Salesforce Administrator or App Builder

• Experience with Salesforce Commerce Cloud or headless commerce integrations
• Experience in large-scale retail or omnichannel OMS implementations
• Exposure to DevOps automation and release orchestration

Software Engineer with key skills in either Python, Go or Typescript and experience operating data systems at scale is sought on a remote basis by a market leading Fintech.

With recent investment this Software Engineer will be joining a dynamic, autonomous team of six tasked with scaling new product functionality and greenfield solutions. As such proven experience working in a product led, fast paced start or scale up would be hugely beneficial.

This role would suit an experienced software engineer who relishes using the latest technology to build greenfield solutions that quickly solve business problems with the ability to understand and translate business requirements into technical solutions.

This Software engineer should have most of the following key skills

• Strong commercial software engineering experience - Go, Python, Typescript, node etc
• Solid rational database exposure - MySQL, Postgres
• A well rounded skill set in streaming systems - Kafa, Kinesis etc
• Strong AWS deployment exposure
• Understanding of column-oriented databases - BigQuery, ClickHouse etc
• A product focussed, business first approach to engineering
• Experience working in a fast paced product lead environment
• Experience operating data systems at scale
• Any experience working in a FinTech or regulated industry
• Cloud native architecture exposure - AWS massively preferred
• Solid pipeline automation skills (CI/CD)

In return this Software Engineer will receive:

• Base salary of up to £100,000
• Long term remote working (one day a month on site max)
• Generous equity stake with a clear business exit strategy
• Bonus scheme
• Private healthcare
• Flexible working hours
• Clear progression and personal development opportunities
• 25 days annual leave plus bank holidays
• Private pension
• Regular salary reviews

So if you are a software engineer who gets excited about greenfield development and playing a key role in building high traffic, enterprise grade applications for household names then please apply now to be considered.

Software Engineer
Up to £100,000
Product, FinTech, Kafka, data systems, AWS, Clickhouse, CI/CD, cloud native
Python, JavaScript, node, express, react, aws, serverless, cloud, cloud native, Typescript