Are you a Data Engineer passionate about buildingscalable, cloud-first data platformsthat power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.

What Youll Do:

• Build, test, and maintainETL/ELT pipelinesfor structured and unstructured data.
• Design and optimisedata warehouses, lakes, and cloud-native platforms.
• Implementmonitoring, security, and compliance frameworksin line with regulations (e.g., GDPR, financial standards).
• Deliverhigh-quality datasetsto analysts, data scientists, and business stakeholders.
• Work with modern technologies, includingcloud platforms, orchestration tools, and streaming frameworks.

What Were Looking For:

• StrongSQL & Pythonskills.
• Hands-on experience withETL/ELT tools(e.g., Matillion, Talend, FiveTran, Azure Data Factory).
• Experience designing and managingcloud data platforms(Snowflake essential; AWS/Azure/GCP desirable).
• Soliddata modelling knowledgeand performance optimisation skills.
• Awareness ofdata governance, security, and regulatory compliance.
• Ability to work closely with technical and business teams to deliver impactful solutions.

Nice-to-Haves:

• Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis).
• CI/CD experience and DevOps practices for data workflows.
• Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy).
• Experience in financial services or other highly regulated industries.

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.

x3 Founding FS Engineer (Python, NextJS, TypeScript) ‍
(AI/LLMs)
Salary up to £120k + Equity
London - 2/3 days a week

Can sponsor candidates already in the UK ✅

Opportunity to join a VC backed startup, building the future of LegalTech. ‍⚖️

With operations based in both the UK&US and partnerships with the biggest Law firms. Working with LLMs to automate workflows and creating agents to handle complex legal processes.

What you’ll do

• Contribute to the entire stack, from cloud infrastructure to prompting to UX (Python backend, Next.js with TypeScript frontend, PostgreSQL, SOTA LLMs. Deployed to Azure via IaC (Bicep) with CI/CD pipelines powered by GitHub Actions)

• Collaborate closely with users to understand how lawyers work and what they need

• Architect and scale document ingestion and processing pipelines to power fast, accurate search and data extraction for large volumes of legal documents

• Develop intelligent, multi-step agent workflows that can autonomously handle complex legal tasks - from surfacing key testimony across depositions to generating fact chronologies and auto-detecting inconsistencies in opposing counsel’s filings

This is for you if …

• You’re driven, self-directed and exceptionally capable
• You’re obsessed with building outstanding products for demanding users
• You’re excited to work on hard problems, take ownership and push things through
• You have high agency and a bias for shipping

This is a Founding Engineer position, so high agency and ability to work with autonomy is required.

Interview slots available immediately.

Active SC Clearance Essential

Our client, an innovative UK technology company is building a next-generation AI platform fordefence and health applications. Their systems operate in highly regulated, mission-critical environments where reliability, security, and performance truly matter.

Were looking for aLead Software Engineerto take technical ownership of key platform components, guide architectural decisions, and mentor engineers as we scale. This is a hands-on leadership role youll be writing code, shaping systems, and directly influencing the future of the platform.

This is a genuineground-floor opportunityto shape both the technology and the engineering culture within a growing, mission-driven business.

What Youll Be Working On

• Leading thedesign, development, and evolutionof intelligent, distributed systems
• Architecting and buildingAI-driven capabilities, including:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI agents and orchestration workflows
• Designing and maintainingbackend services and APIs(primarily Python, FastAPI / Flask)
• Building and scalingdata pipelinesand search systems using:
• ElasticSearch, Weaviate, Pinecone, and other vector databases
• Engineeringsecure, containerised architecturesusing Docker and Kubernetes
• Ensuringhigh availability, fault tolerance, and performancefor mission-critical workloads
• Providingtechnical leadership and mentorshipto other engineers
• Contributing to technical strategy, tooling choices, and engineering best practices

What Were Looking For

Essential

• ActiveSC clearanceandBritish nationality (no dual nationality)
• Degree in Computer Science, AI, or a related field or equivalent industry experience
• Strong background inPythonor similar languages
• Significant experience withbackend development, microservices, and distributed systems
• Hands-on experience withAI/ML systems, including LLMs, RAG, or vector databases
• Solid understanding ofcontainerisation and orchestration(Docker / Kubernetes)
• Experience deliveringsecure, on-premise or regulated systems
• Proven ability tolead technically, mentor others, and take ownership of complex problems

Desirable

• Experience in defence, government, healthcare, or other regulated domains
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code
• Exposure to data engineering, ETL pipelines, or high-volume data processing
• Experience working inSME or start-up environments, comfortable wearing multiple hats

Salary: £90,000 - £100,000 (DOE) + Bonus + Benefits

Hybrid working 1 day per week onsite in either Winchester/Basingstoke

Role: Data Engineer (Automation)

Location: Milton Keynes (Hybrid 3 Days In-Office Weekly)

Salary: £45,000 - £55,000

Network IT are supporting a large, enterprise-scale organisation as they continue to evolve and modernise their Data Analytics and Automation Platform ; were looking for an experienced Data Engineer to design, build, and optimise secure, automated data pipelines that enable scalable analytics, business intelligence, and data-driven decision-making across multiple business units.

This is a highly technical role with strong exposure to cloud and on-prem data platforms , automation, and emerging AI-driven capabilities, and is specifically suited to candidates with strong, hands-on data engineering experience , particularly in building, operating, and optimising complex data pipelines, data models, and integration workflows at scale.

Role Overview and Responsibilities

As a Data & Automation Engineer , you will be responsible for the end-to-end delivery, operation, and continuous improvement of enterprise data pipelines and analytics platforms. Youll work closely with architects, application managers, and international teams to ensure data solutions are reliable, scalable, and aligned with data governance standards.

Key responsibilities include:

Designing, developing, and maintaining automated end-to-end data pipelines across cloud and on-premise source systems.

Delivering reliable data ingestion, transformation, and delivery processes using technologies such as Azure Data Factory, Databricks, SSIS, and SQL .

Reducing manual interventions through automation and standardisation , including data preparation, feature engineering, and training-data pipelines.

Preparing data models and datasets (DWH / Lakehouse) to support business intelligence, analytics, and operational reporting.

Monitoring and supporting live data pipelines, resolving issues in line with ITIL best practices , and implementing proactive alerting and self-healing mechanisms.

Identifying and implementing performance optimisations across data pipelines, queries, and reporting workloads.

Supporting data governance processes , including data archiving, masking, encryption, and versioning, with opportunities to integrate AI-driven automation.

Contributing to CI/CD processes for data pipelines, ensuring releases are tested, compliant, and deployed with minimal operational impact.

Collaborating with cross-functional and international teams to support aligned, scalable data operations.

Supporting the ongoing evolution and execution of the organisations data strategy .

Essential Skills and Experience

To be successful in this role, you will bring:

Strong commercial experience delivering end-to-end data engineering and automation solutions in complex environments.

Advanced SQL skills, including performance tuning and optimisation across large datasets.

Knowledge of Python or R for data processing or analytics.

Hands-on experience with data integration and ingestion tools such as Azure Data Factory and Databricks .

Proven experience in data modelling , data warehousing, and relational database platforms (e.g. MS SQL Server).

Experience designing cloud-native and/or on-prem data solutions .

Exposure to automation and AI-enabled data processes , with awareness of LLM use cases within data workflows.

Experience working in Agile delivery environments (Scrum, Kanban, DevOps).

Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights.

Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.

Desirable Experience

Experience coordinating or supporting AI / ML initiatives within data platforms.

Experience working within large, regulated, or international organisations.

TPBN1_UKTJ

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do

• Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences.
• Real time data processing and gRPC microservices (Typelevel stack).
• Take end-to-end ownership of services, from development to production operations
• Optimising the performance of the application in the cloud environments
• Creating/improving automated pipelines that support our Continuous Delivery process
• Build, scale and maintain large scale cloud-based services
• Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals.
• Refining the team processes to continuously integrate and working towards a continuously deliverable application.
• Championing best practices to develop clean, resilient code that performs at serious scale.
• Coaching and providing feedback to fellow developers.

What you’ll bring

• Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python).
• Interest in machine learning, personalisation systems and cloud technology - even if you haven’t worked extensively in ML before.
• Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support.
• Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations.
• Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP).
• Ability to collaborate effectively across teams and communicate technical concepts clearly.
• A problem-solving mindset and eagerness to learn new technologies and approaches.
• Ability to challenge technical choices, architecture, tools and processes

Team overview

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Edge AI Engineer | Wireless Comms | Start up | Oxford / Hybrid | £70,000pa - £90,000pa: A once in a lifetime opportunity has arisen for an Edge AI Engineer to have a major impact in the development of next generation wireless communications which will revolutionise several key industries. If you really want to contribute to future technology, and AI, Data Science, or Machine Learning is your passion then this early stage, fast paced, and independently funded start up wants to hear from you. Led by an incredibly talented team of industry experts, and with strong links to the University of Oxford, they are on a mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, you Edge AI Engineer will create a substantial impact by developing critical technology that will save lives and ensure our society remains safe in an ever-changing world. Key responsibilities: Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices. Implementing low-latency, high-performance deep learning pipelines on hardware accelerators such as FPGA, TPU, and ASICs. Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems. Apply quantisation, pruning, distillation, and model compression to enhance efficiency. Strengthening model robustness against adversarial attacks and system-level security threats. Collaborating with embedded and security engineers to align AI performance with real-world system constraints. Edge AI Engineer essential experience & skills: Master's or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field. Strong proficiency in Python with practical experience of PyTorch or TensorFlow. Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs) Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems. Awareness of adversarial ML and model robustness techniques Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices. Keenness to work on meaningful problems within the context of UK Defence and Security. Edge AI Engineer desirable experience & skills: 5+ years of experience in AI/ML systems development. Understanding of training-inference workflows, including data preprocessing, model evaluation and benchmarking. Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference). Experience with model optimisation techniques: quantisation, pruning, knowledge distillation and model compression. Proficient with Git, CI/CD and Linux-based development environments. Ability to document and test code for reproducibility and maintenance. If you have experience working on Edge AI and you have a deep passion for AI, Data Science and Machine Learning, then our wireless communications start up wants to hear from you. Drop Lee @ MARS  a LinkedIn connection, drop him an InMail, or phone call to discuss this amazing opportunity in more detail. MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles)

Edge AI Engineer Wireless Comms Start up Oxford / Hybrid £70,000pa - £90,000pa:

A once in a lifetime opportunity has arisen for an Edge AI Engineer to have a major impact in the development of next generation wireless communications which will revolutionise several key industries.

If you really want to contribute to future technology, and AI, Data Science, or Machine Learning is your passion then this early stage, fast paced, and independently funded start up wants to hear from you. Led by an incredibly talented team of industry experts, and with strong links to the University of Oxford, they are on a mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, you Edge AI Engineer will create a substantial impact by developing critical technology that will save lives and ensure our society remains safe in an ever-changing world.
Key responsibilities:

• Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices.
• Implementing low-latency, high-performance deep learning pipelines on hardware accelerators such as FPGA, TPU, and ASICs.
• Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems.
• Apply quantisation, pruning, distillation, and model compression to enhance efficiency.
• Strengthening model robustness against adversarial attacks and system-level security threats.
• Collaborating with embedded and security engineers to align AI performance with real-world system constraints.

Edge AI Engineer essential experience & skills:

• Master’s or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong proficiency in Python with practical experience of PyTorch or TensorFlow.
• Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs)
• Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems.
• Awareness of adversarial ML and model robustness techniques
• Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices.
• Keenness to work on meaningful problems within the context of UK Defence and Security.

Edge AI Engineer desirable experience & skills:

• 5+ years of experience in AI/ML systems development.
• Understanding of training-inference workflows, including data preprocessing, model evaluation and benchmarking.
• Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference).
• Experience with model optimisation techniques: quantisation, pruning, knowledge distillation and model compression.
• Proficient with Git, CI/CD and Linux-based development environments.
• Ability to document and test code for reproducibility and maintenance.

If you have experience working on Edge AI and you have a deep passion for AI, Data Science and Machine Learning, then our wireless communications start up wants to hear from you. Drop a LinkedIn connection, drop him an InMail, or phone call to discuss this amazing opportunity in more detail.

MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven t heard back in this time your application has been unsuccessful at this time

MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).

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).

Lead MLOps Engineer - London - Permanent

?? London, UK
(If you like the sound of this role and want to relocate - the Client is willing to help facilitate this move!)

This is a high-impact role within a fast-growing AI and robotics organisation focused on building advanced, scalable intelligent systems for real-world industrial applications. The position owns the machine learning infrastructure and MLOps foundations as products, platforms, and teams scale.

You will play a key role in transforming machine learning prototypes into reliable production systems, defining pragmatic engineering standards, and enabling fast, safe delivery of ML-powered capabilities. The role combines hands-on engineering, architectural ownership, and close collaboration with engineering and product teams.

Key Responsibilities

• Own and scale the organisation’s ML infrastructure and MLOps foundations
• Design pragmatic, production-ready system architectures that balance speed, reliability, and cost
• Build and maintain CI/CD pipelines for ML workflows and application delivery
• Productionise ML models including training, evaluation, deployment, monitoring, and rollback strategies
• Ensure reliability, observability, security, and performance across ML systems
• Automate infrastructure provisioning, deployments, and environment management using cloud-native tooling
• Partner closely with ML engineers, software engineers, and product teams to deliver ML features end-to-end
• Act as a technical leader through design reviews, mentorship, and by establishing engineering best practices

Required Experience & Skills

• Staff or lead-level experience in MLOps, DevOps, or Infrastructure Engineering, ideally within high-growth or startup environments
• Strong Python skills with hands-on experience using modern ML frameworks (e.g., PyTorch, TensorFlow, or similar)
• Experience working with major cloud platforms (AWS, GCP, or Azure)
• Proven production experience with Docker and Kubernetes
• Strong understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD)
• Experience with Infrastructure as Code tools such as Terraform and Helm
• Solid understanding of data engineering fundamentals and ML lifecycle management
• Ability to design scalable systems without unnecessary complexity
• Strong debugging and problem-solving skills in distributed systems
• Ownership mindset with excellent communication and cross-functional collaboration skills

What’s Offered

• Competitive salary and equity participation
• Paid vacation in line with local labour regulations
• Opportunities for international collaboration and travel
• Office benefits including meals, snacks, and team events

If you are interested - please apply directly!

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Salary: £115K - £125K + bonus

Location: Manchester 2-4 days a month

The Opportunity

We’re working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline.

As Head of Data Science, you’ll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance.

Skills and Experience

• Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations
• Strong background in building and deploying ML models at scale in production environments
• Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains
• Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery
• Engineering mindset, with experience moving teams toward machine learning engineering best practices
• Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Head of Data Science

Data Engineer- Highly competitive salary About the Role: Were partnering with a leading technology consultancy that helps organisations harness the power of data to modernise platforms and drive business outcomes. As a Data Engineer, youll be at the forefront of designing and delivering cloud-native solutions on Google Cloud, turning complex datasets into actionable insights. In this role, youll work on diverse projects, from batch and streaming pipelines to data warehouses, data lakes, and AI-powered analytics platforms. This is a hands-on role where your expertise will guide delivery, shape best practices, and mentor other team members. Key Responsibilities : Lead the design, development, and deployment of scalable data pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub Automate ETL/ELT workflows and orchestrate pipelines with tools such as Cloud Composer Contribute to architecture and end-to-end solution design for complex data platforms Set engineering standards and ensure high-quality code, deployment, and documentation practices Collaborate with clients and internal teams, translating business requirements into practical solutions Mentor and coach junior engineers to grow their skills and adopt best practices What They're Looking For: They're looking for a Data Engineer who can take ownership of complex data solutions while remaining hands-on. You should have: Proven experience building production-ready solutions on Google Cloud Expertise with batch and streaming frameworks like Apache Spark or Beam Strong understanding of data storage, pipeline patterns, and event-driven architectures Experience with CI/CD, version control, automated testing, and Agile delivery Ability to communicate clearly to both technical and non-technical stakeholders Mentoring or coaching experience Bonus skills: Kafka, enterprise data platform migrations, RDBMS experience (Postgres, MySQL, Oracle, SQL Server), and exposure to ML pipelines. Security Eligibility Candidates must be eligible for UK Security Clearance (SC or DV) if required. Why This Role? This is a chance to work on high-impact, cloud-native projects as a Data Engineer, taking ownership of technical decisions, shaping delivery practices, and developing your career. Youll join a supportive environment where mentoring and learning are highly valued, and your work will directly contribute to the success of complex data programmes. Ok I'm In What's Next? Please apply with your latest CV. TPBN1\_UKTJ

Permanent role

Based in Tewkesbury

Offering 45,000

Do you have experience in Software Development in C++?

Do you have a degree in a related discipline?

If your answer to these is yes, then this could be the role for you!

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

You will be involved in:

• Developing software for cyber security systems;
• Developing novel signal, image, or data processing applications;
• Developing solutions in C/C++, HTML, Typescript/Javascript, Python, and Rust;
• Providing support and training to our customers in using the software.

Your skillset may include:

• Be self-motivating, capable of working independently
• Have a strong academic background
• Have strong verbal and written presentation skills
• Have software development experience, preferably in C/C++

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

Graduate Software Engineer

Permanent role

Based in Tewkesbury

Offering 45,000

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited (“ARM”). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

Senior Machine Learning Engineer - Data Science Focus

Based in London (Hybrid - 2 days onsite)

Permanent, Full-Time

Salary: Up to 95,000 (depending on experience)

We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you’ll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning.

You’ll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you’re passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you.

Role and Responsibilities

• Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods).
• End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies.
• Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications.
• Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS.
• Model governance: Apply best practices for evaluation, drift monitoring, and compliance.
• Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions.

Key Skills and Experience

• Master’s degree in a STEM or quantitative discipline (PhD nice to have).
• 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI).
• Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation.
• Production-grade Python proficiency and ability to write clean, maintainable code.
• Comfortable with complex SQL queries.
• Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified.
• Experience with Docker and Kubernetes in production environments.
• Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable.
• Strong communication skills and ability to explain technical concepts clearly.

Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.