Your new company
You’ll be joining a forward‑thinking council committed to improving service delivery, strengthening data‑driven decision‑making, and enhancing outcomes for residents. As the organisation continues to modernise its digital and reporting capabilities, you’ll play a key role in shaping how data is captured, understood, and used across operational, customer and programme areas.

Your new role
As the Power BI Specialist, you’ll lead the development of unified data models and automated reporting that bring together information from Whitespace, Salesforce, GOSS, SharePoint and programme datasets. You will create a single source of truth for the organisation and deliver high‑quality dashboards for performance, customer insight, risk, milestones and financial monitoring.
You’ll design and implement data pipelines, support the migration from legacy systems, establish KPI baselines and deliver accessible, accurate reporting frameworks. Alongside this, you’ll develop a data governance approach, support Agile delivery, and upskill staff in Power BI and digital tools. Your work will feed directly into Programme Boards and governance groups, supporting strategic decisions and continuous improvement across SIP and SRP workstreams.

What you’ll need to succeed

Strong experience developing advanced Power BI data models, dashboards and reporting solutions.
Knowledge of integrating data from systems such as Whitespace, Salesforce CRM, SharePoint and eForms platforms.
Experience designing data pipelines, managing data quality and supporting system migrations.
Understanding of KPI development, performance reporting and operational insight generation.
Ability to map data sources, define governance frameworks and promote a single version of the truth.
Strong communication skills with the ability to train and support non‑technical users.
Familiarity with Agile delivery, data protection requirements and relevant statutory obligations (e.g., GDPR, Environment Act, Equality Act, Accessibility Regulations).
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.

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Teamcenter Migration Engineer (PLM / Defence Projects)
Location: Huddersfield, West Yorkshire (on-site, 4-day compressed week available)
Type: Permanent
Salary: Negotiable (DOE)

The Opportunity:

A leading engineering consultancy is looking for an experienced Teamcenter Migration Engineer to support a major defence manufacturing project based in Huddersfield.

You’ll take the technical lead on end-to-end PLM and CAD data migrations into Siemens Teamcenter — working across legacy systems, data mapping, script configuration, validation, and post-go-live support.

This is a hands-on, technically challenging role within a high-performing engineering environment. You’ll be part of a long-term programme delivering critical solutions for a key defence client.

What You’ll Do:
Lead full lifecycle Teamcenter migration projects from planning through execution and validation.
Analyse and interpret legacy PLM, ERP, and CAD data to define scope and migration strategy.
Collaborate with business and functional teams to capture and document data mappings and transformation rules.
Configure and optimise ETL (Extract-Transform-Load) scripts.
Support test runs, go-live cutovers, and post-migration stabilisation.
Conduct data profiling and cleansing, advising stakeholders on improvements.
Produce clear technical documentation and status reporting throughout the migration process.What You’ll Bring:
Minimum 5 years’ experience in Teamcenter deployment and data migration.
Proven track record leading metadata, CAD, and document migrations.
Strong understanding of PLMXML and IPS Data Upload utilities.
Hands-on experience with ETL tools (Informatica or Pentaho preferred).
Ability to script or code using Teamcenter ITK libraries (advantageous).
Excellent communication, problem-solving, and stakeholder engagement skills.
Willingness to work on-site and travel within the UK when required.Security Requirements Due to the nature of this project, you must be a Sole UK National and eligible for Security Clearance (SC).

Why Apply?
Work on a high-impact defence engineering programme with a world-class consultancy.
Option to compress your 37.5-hour week into four days.
Long-term opportunity with strong technical growth potential.
Excellent salary, benefits, and career security.If you are interested and keen to find out more, please apply now with your updated CV and reach out to Tom Johnson at Certain Advantage - Ref: 79561

Role: Palantir Foundry Data Engineer Location: Remote working Day rate: £400pd-£500pd Contract: 3 month initial We are currently recruiting for an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that support analytics, automation, and operational decision-making. You will play a key part in shaping the data ecosystem, ensuring reliability, performance, and long-term sustainability. Skills and experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require occasional travel to client site, please consider this when applying for the role. If you are interested in the role and would like to apply, please click on the link for immediate consideration

Permanent £70 - £80k plus annual bonus scheme (up to 10%) Hybrid working (typically 2 days working from home) Wigan Sellick Partnership are delighted to be supporting a growing manufacturing organisation with the recruitment of a Data Engineer - a brand new role to the business! The business have been a market leader in their field for over 40 years with strong UK and European presence in the market. The Data Engineer will be responsible for mapping, building and maintaining scalable systems, infrastructure and pipelines that collect, store and transport raw data. You will also work closely with the Head of IT and other technical teams to support current and new services following DevOps principles. Responsibilities: Lead on data-driven projects ensuring effective project management and delivery on time. Design and build a scalable, modern cloud-based data platform, including data lake, data ingestion pipelines, transformation and data modelling. Evaluation of current data setup to identify gaps and improvements and where needed optimising or rebuilding the data and analytics infrastructure. Ensure that data analytics, governance and architecture practices are scalable and robust. Establishing raw data flows that support operational and reporting insight. What we are looking for: Proven experience in a Data Engineer/ strategic data role. Strong working knowledge of Query Optimisation, DAX, Power BI. Hands on experience with either Amazon AWS and Azure data platforms with also Business Central experience being beneficial. Experience integrating multiple systems into a central cloud-based data platform. Excellent technical documentation skills. Excellent communication skills, with the ability to bring new ideas, challenge when needed and collaborate. This is an excellent opportunity for someone to take up a newly created pivotal role for this growing organisation with the opportunity to map out, design and implement their cloud based data infrastructure. Please apply by Friday 20th March to be considered. Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website

Senior AI Engineer (NLP / LLMs)

Location: UK (Remote)

Salary: £80,000 - £85,000

A growing technology company operating in the healthcare and legal data space is looking for a Senior AI Engineer to help develop advanced AI capabilities within its platform.

The organisation works with large volumes of complex clinical and legal data and is investing heavily in machine learning, natural language processing, and large language models to automate analysis and generate meaningful insights.

The Role

You will design and deploy LLM and NLP-driven solutions , taking ownership of the full lifecycle from experimentation through to production. Working closely with data, engineering, and product teams, you’ll help deliver scalable AI systems that operate reliably in production environments.

Key Responsibilities

Develop and deploy NLP and LLM-based models

Fine-tune foundation models using domain-specific datasets

Build and maintain MLOps pipelines for training, testing, and deployment

Implement monitoring, evaluation, and optimisation of AI models

Collaborate with cross-functional teams to integrate AI capabilities into the wider platform

Required Experience

Strong background in AI / Machine Learning engineering

Expertise in NLP, LLMs, and transformer-based architectures

Experience with RAG, agents, or prompt engineering

Hands-on knowledge of MLOps, CI/CD, and model deployment

Experience with Docker, Kubernetes, or similar containerisation tools

Desirable

Experience working in regulated or sensitive data environments

Exposure to graph-based retrieval or knowledge graphs

Familiarity with cloud ML platforms (Azure or similar)

This is an opportunity to work on cutting-edge AI systems tackling complex real-world problems in a collaborative and fast-growing environment.

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Job Title: AI Engineer - Python, LLMs

Location: Sheffield (Hybrid)

Type: Contract, Full-Time

We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation.

You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks.

You will build high-quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights.

You will be responsible for :

Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment.

Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks.

Leverage LLMs and AI-assisted tools to accelerate insight generation, documentation, and development workflows.

Key Skills and Experience you must have:

Strong SQL and data modelling skills.

Hands-on experience with enterprise analytics platforms such as Power BI and Tableau.

Experience in implementing CI/CD pipelines for Analytics.

Excellent experience with Python.

Excellent experience working with large Enterprise Data Platforms.

Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation.

You must be a team player with the ability to work in a collaborative environment.

If the role is of interest please get across your CV.

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Job Title: BI Analyst (NHS Datasets, Power BI, SQL, and SSIS) (Fully remote)

Location: Stoke Mandeville Hospital, Aylesbury, Buckinghamshire, HP21 8AL
Trust: Buckinghamshire Healthcare NHS Trust
Contract: Full-time, 37.5 hours/week, Monday to Friday, 8:00 AM – 4:00 PM or 9:00 AM – 5:00 PM
Work Arrangement: Fully remote, with an initial visit to site to collect equipment
Pay: £27.01/hour + holiday pay (equivalent to £30.71/hour)
Duration: 6 months, with possibility of extension

About the Role:
We are looking for an experienced BI Analyst to join our team. The role requires working with large NHS datasets to deliver high-quality reporting and actionable insights. The ideal candidate can work independently from day one and hit the ground running.

Essential Skills:

* Proven experience with NHS datasets

* Advanced Power BI and SQL skills

* Experience developing and maintaining SSIS packages

* Ability to work independently with minimal guidance

Key Responsibilities:

* Design, develop, and maintain dashboards and reports using Power BI

* Extract, manipulate, and analyze data using SQL

* Build and maintain SSIS packages for ETL workflows

* Work with NHS datasets

Desirable Skills:

* Experience with Infoflex reporting, especially in clinical or cancer data, is a major plus

Who Are NHS Professionals?

NHS Professionals (NHSP) connects skilled NHS workers with flexible shifts across Trusts in England, offering better career opportunities and a healthier work-life balance.

We are an equal opportunities employer and encourage applicants from all backgrounds to apply.

Apply Today

Join us for flexible shifts and professional development.

Disclaimer:

If you don’t hear from us within 21 days, please assume you were not selected

Technical Data Engineer / Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £425 - £475 | Nottingham | We’re supporting a major data transformation programme and looking for a Technical Data Analyst to help migrate legacy systems into a modern Azure data platform. This is a hybrid role 3 days a week in the Nottingham office which is none negotiable. This is a ideal role for someone who is looking for hands on experience with Azure analytics tools and thrives in a data heavy environment. What you'll be doing: Analysing, understanding, and documenting legacy data structures Supporting data model mapping from old systems into the new Azure platform Validating migrated datasets for accuracy and completeness Creating reporting assets and dashboards using Power BI Working with engineers to identify data issues, test pipeline outputs, and improve overall data quality Key Skills Strong SQL skills and experience working with Azure‑hosted datasets Power BI reporting/dashboards creation Python experience Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial If this is a role that suits your skill set, you are immediately available and can work 3 days a week in the office near Nottingham then please apply for the attached job or send your CV to (url removed). Technical Data Engineer / Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £425 - £475 | Nottingham

Senior Azure data engineer We are seeking an Azure Data Engineer to join the analytics department within the financial services industry. This role focuses on designing, implementing, and maintaining data solutions using Azure technologies to support business decision-making and insights. Client Details Senior Azure data engineer Our client is a large organisation within the financial services industry, dedicated to providing innovative solutions and leveraging technology to drive business success. They are known for their commitment to excellence and their focus on delivering impactful data-driven strategies. Description Senior Azure data engineer Design and develop data pipelines and workflows using Azure technologies. Implement and manage data storage solutions, ensuring optimal performance and security. Collaborate with analytics teams to understand data requirements and deliver solutions accordingly. Monitor and maintain the performance of Azure based data systems. Ensure data integrity and accuracy across all platforms. Provide technical expertise on Azure data engineering best practices. Optimise data processes for efficiency and scalability. Troubleshoot and resolve data-related issues promptly.Profile Senior Azure data engineer A successful Azure Data Engineer should have: Proven experience in data engineering within the financial services industry. Strong expertise in Azure data technologies, including Data Factory, Databricks, and Synapse Analytics. Proficiency in SQL and other data query languages. Knowledge of data modelling, ETL processes, and data warehousing concepts. Experience in working with large datasets and ensuring data quality. Excellent problem-solving and analytical skills. A degree in Computer Science, Data Science, or a related field.Job Offer Senior Azure data engineer Competitive salary ranging from £80,000 to £95,000 per annum. Comprehensive benefits package. Opportunities for professional growth within the financial services industry. A supportive and innovative work environment.If you are an experienced Senior Azure Data Engineer looking for your next permanent opportunity, we encourage you to apply and take the next step in your career

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV

One of our Blue Chip Clients is urgently looking for a Data Management Support - (Aircraft Maintenance CAMO Data Support). This role is fully remote but candidate need to be within 45 min commute of Brize Norton as per Client's request due to the on call element of the role. CONTRACTOR MUST BE ELIGIBLE FOR BPSS MUST BE PAYE THROUGH UMBRELLA - Aerospace manufacturing - Manufacturing Process capture and document creation - Technical areas o Aerospace Primary Structure Composite (carbon fibre) Composite wing manufacture Composite primary structure - curing/co-bonding Inspection methods Manufacturing methods Metallic Treatments Inspection Methods Mechanical assembly and drilling (metallic/composite) Assembly Machining Structural adhesives Paints Sealants Shift Pattern Early shift: 7:00 am to 15:00 pm Central shift: 9:00 am to 17.00 pm Late shift: 12:30 am to 20:00 pm Primary shift: 20:00 pm to 7:00 am. Only need to go to the office if an A/C lands. Weekend shift: Currently from 07:00 Saturday morn to 07:00 Monday morn Please send CV for full details and immediate interviews. We are a preferred supplier to the client.

Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse

The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.

Key Responsibilities

• Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
• Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
• Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
• Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
• Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
• Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
• Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs.

Knowledge, Skills & Experience

• Degree in Computer Science, Data Engineering, or a related field.
• Proven experience designing and building cloud-based data platforms, ideally within Azure.
• Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory.
• Solid understanding of Data Lakehouse architecture and modern data platform design.
• Proficiency in Python for data engineering, automation, and data processing.
• Experience developing and integrating REST APIs for data services.
• Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms.
• Experience with Infrastructure as Code tools such as Terraform or ARM templates.
• Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts.
• Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor).

Desirable

• Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps).
• Knowledge of cloud cost optimisation for data platforms.
• Understanding of data governance and regulatory compliance (eg, GDPR).
• Experience working in regulated or professional services environments.

Data Engineer / London OR Newcastle / Hybrid / Permanent

We’re recruiting an Azure Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation.

This is an opportunity to work on modern azure data platforms, integrating multiple data sources and enabling high-quality, accessible data for downstream users.

The Role

As a Data Engineer, you will:

• Design, build, and maintain scalable data pipelines and ETL processes
• Integrate structured and unstructured data from multiple internal and external sources
• Ensure data quality, consistency, performance, and security across platforms
• Collaborate with analytics engineers, data analysts, and stakeholders to support data modelling and transformation
• Monitor, optimise, and troubleshoot data infrastructure and pipelines
• Produce clear documentation of data architecture and engineering processes

Key Responsibilities

• Build and manage robust data infrastructure for large-scale data ingestion and processing
• Develop automated, reliable data pipelines aligned to best practices
• Optimise ETL workflows for performance and scalability
• Implement data governance, access controls, and security standards
• Support self-service analytics by enabling clean, well-structured datasets
• Proactively identify and resolve data issues and pipeline failures

Skills & Experience

• Strong experience designing and building ETL workflows and data pipelines
• Experience integrating data from APIs, databases, and cloud services
• Solid understanding of data modelling and data warehousing concepts
• Experience with relational and non-relational databases, including performance optimisation

If you’re interested in the role, then please apply!

We are looking for a skilled and motivated Business Intelligence Developer to join a data and analytics team. This role is ideal for someone with strong technical expertise in Power BI, Microsoft Business Intelligence tools, SQL, and DAX, who is passionate about transforming data into actionable insights.

As a BI Developer, you will be responsible for developing, maintaining, and enhancing business intelligence systems that support data-driven decision-making across the organisation. You will work closely with stakeholders to understand business requirements and deliver scalable, high-quality reporting and analytics solutions.

Key Responsibilities

• Design, develop, and maintain Business Intelligence solutions and reporting systems.
• Build interactive dashboards and reports using Power BI.
• Develop robust data models to support analytics and reporting requirements.
• Write efficient queries and stored procedures using SQL.
• Develop calculations and measures using DAX to support advanced analytics.
• Integrate data from multiple sources using Microsoft Business Intelligence tools.
• Ensure data accuracy, performance optimisation, and governance of BI solutions.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Support and enhance existing BI systems, ensuring reliability and scalability.

Key Skills & Experience

• Proven experience as a Business Intelligence Developer or similar BI/analytics role.
• Strong expertise in Power BI, including dashboard and report development.
• Extensive experience with SQL for querying, transformation, and optimisation.
• Strong knowledge of DAX for building complex calculations and measures.
• Experience with Microsoft Business Intelligence stack (e.g., SSIS, SSAS, SSRS).
• Solid understanding of data modelling, including star and snowflake schemas.
• Ability to translate business requirements into technical BI solutions.
• Strong analytical thinking and problem-solving skills.

Desirable Skills

• Experience working with data warehouses or data lake architectures.
• Knowledge of ETL processes and data integration.
• Experience with Azure data services or cloud-based BI platforms.
• Understanding of data governance and best practices in data management.

A successful FTSE-listed organisation with a friendly, close-knit culture is looking for a Senior Data Engineer to help shape and deliver its evolving data platform.

This is a hands-on, high-impact role in a smaller organisation where you will act as both a senior engineer and strategic data partner, designing solutions that support both operational and long-term business goals.

You will play an important role in the company s migration to Microsoft Fabric, while continuing to build and optimise its existing SQL Server-based data warehouse environment.

While primarily a backend engineering role, you will also support reporting via SSRS/Microsoft Power BI, with an increasing focus on AI-driven capabilities over time.

As the Senior Data Engineer, you will work closely with the Solutions Architect and collaborate with teams across the business, with occasional travel to France and Germany. This opportunity suits someone with in-depth SQL experience who is looking to work with modern tools like Microsoft Fabric.

Essential Skills

• Strong SQL Server experience (T-SQL, SSIS, SSRS, stored procedures, functions, triggers)
• Data warehouse architecture, build and maintenance
• Excellent communication skills and ability to gather requirements from non-technical stakeholders at all levels
• Degree in Computer Science or STEM subject
• Comfortable working 4 days per week onsite in Vauxhall

Desirable

• Microsoft Fabric, Azure Synapse, Azure Data Factory, Snowflake, Databricks
• Python or any other relevant language
• Experience with tools such as Power BI, Qlik or Tableau

The role offers a package of £64k+, plus a bonus of up to 15%, along with a generous pension, 28 days’ holiday, private medical insurance, permanent health insurance, study support, and a modern office with an onsite gym.

If your experience aligns, apply with an up-to-date CV as soon as possible, as this is expected to be a popular opportunity.

Role Title: Data Management Support

Duration: contract to run until 09/2026

Location: Remote - must be within 45 min commute of Brize Norton as per Client’s request due to the on call element of the role

Shift Pattern

Early shift: 7:00 am to 15:00 pm

Central shift: 9:00 am to 17.00 pm

Late shift: 12:30 am to 20:00 pm

Primary shift: 20:00 pm to 7:00 am. Only need to go to the office if an A/C lands.

Weekend shift: Currently from 07:00 Saturday morn to 07:00 Monday morn

Role purpose/summary

• Aerospace manufacturing
• Manufacturing Process capture and document creation
• Technical areas
• Aerospace Primary Structure
• Composite (carbon fibre)
• Composite wing manufacture
• Composite primary structure - curing/co-bonding
• Inspection methods
• Manufacturing methods
• Metallic
• Treatments
• Inspection Methods
• Mechanical assembly and drilling (metallic/composite)
• Assembly
• Machining
• Structural adhesives
• Paints
• Sealants

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

• Senior Engineer/Architect
• Leading Technology AI Brand
• SaaS - Platform based Technology Services
• London/City
• £70-100k salary + equity package

Our client a global technology leader is currently looking for a Senior/Lead Data Engineer to work with the dev team to guide the provision of Software Development for an exciting new AI product.

Key Responsibilities:-

• Architect and build scalable data pipelines and infrastructure
• Design and maintain data ingestion, transformation, and storage architectures for operational and AI workloads.
• Develop and manage batch and Real Time data pipelines.
• Build and optimize systems for vector search, retrieval, and ML data pipelines.
• Ensure data reliability, security, and governance across the platform.
• Collaborate with AI and Back End engineering teams to support training, inference, and product features.
• Implement monitoring, observability, and data quality frameworks.

Core Experience:-

• 7+ years of experience in data engineering or Back End engineering roles.
• Strong experience designing and building data pipelines and distributed data systems.
• Experience working with relational databases (PostgreSQL preferred, but MySQL or similar is acceptable).
• Experience with NoSQL databases.
• Experience with vector databases used in modern AI systems.
• Strong programming experience in Python.

Frameworks/Infrastructure:-

• Apache Spark
• Apache Airflow
• Kafka
• Elasticsearch/OpenSearch

Senior AI Engineer (NLP/LLMs)

Location: UK (Remote)

Salary: £80,000 - £85,000

A growing technology company operating in the healthcare and legal data space is looking for a Senior AI Engineer to help develop advanced AI capabilities within its platform.

The organisation works with large volumes of complex clinical and legal data and is investing heavily in machine learning, natural language processing, and large language models to automate analysis and generate meaningful insights.

The Role

You will design and deploy LLM and NLP-driven solutions, taking ownership of the full life cycle from experimentation through to production. Working closely with data, engineering, and product teams, you’ll help deliver scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Develop and deploy NLP and LLM-based models
• Fine-tune foundation models using domain-specific datasets
• Build and maintain MLOps pipelines for training, testing, and deployment
• Implement monitoring, evaluation, and optimisation of AI models
• Collaborate with cross-functional teams to integrate AI capabilities into the wider platform

Required Experience

• Strong background in AI/Machine Learning engineering
• Expertise in NLP, LLMs, and transformer-based architectures
• Experience with RAG, agents, or prompt engineering
• Hands-on knowledge of MLOps, CI/CD, and model deployment
• Experience with Docker, Kubernetes, or similar containerisation tools

Desirable

• Experience working in regulated or sensitive data environments
• Exposure to graph-based retrieval or knowledge graphs
• Familiarity with cloud ML platforms (Azure or similar)

This is an opportunity to work on cutting-edge AI systems tackling complex real-world problems in a collaborative and fast-growing environment.

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

We’re looking for an experienced Senior Data Engineer to join a growing team building a modern Microsoft Fabric data platform. This is a hands-on role designing and delivering scalable data pipelines, Lakehouse solutions, and analytics models within the Azure ecosystem.

What You’ll Do:

• Build and maintain ETL/ELT pipelines and data models in Fabric (Data Factory, Notebooks, Spark)
• Write high-performance Spark SQL, T-SQL, Python/PySpark
• Manage ingestion, transformation, and loading from multiple sources
• Translate stakeholder requirements into scalable technical solutions
• Mentor team members and establish engineering standards, security, and governance
• Leverage AI-assisted development tools like GitHub Copilot, ChatGPT, and Fabric Copilot

Essential Experience:

• Microsoft Fabric & Azure Data ecosystem
• Lakehouse architectures & Data Factory
• Python, PySpark, Spark SQL
• Proven hands-on delivery in this stack

What’s on Offer:

• Salary: 70,000
• Excellent benefits & annual leave package
• Strong progression & development opportunities
• Opportunity to work on a modern, AI-enabled data platform
• Real ownership and influence in a growing, forward-thinking data team

If you’re an experienced Data Engineer with solidMicrosoft Fabric and Azure experience, we’d love to hear from you!

Tech Lead - Asset Management Data Platform (Pricing & Quant Data)

Permanent London (Hybrid - 3 days/week onsite)

Up to 140,000 + bonus + excellent benefits

Lorien is partnering with a leading UK investment and asset management organisation to hire a hands-on Tech Lead to help build and evolve a modern cloud data platform supporting front-office investment activity. This is a high-impact role in a London-based team that works closely with the business, shaping how critical pricing, hedging and investment datasets are produced, governed and shared.

This role involes leading technical design and delivery from the front, mentoring engineers, and setting engineering standards (without formal line management). You’ll be trusted to operate with high autonomy and drive delivery day-to-day.

The opportunity (what you’ll be working on)

• Building and running a greenfield/early-stage Snowflake data platform that acts as a data hub for the asset management function
• Delivering high-quality, timely data for pricing workflows (ensuring the right data is available for pricing, and distributed correctly once prices are produced)
• Supporting asset & liability matching and hedging MI use-cases by providing trusted datasets to investment stakeholders and quant teams
• Modernising how data is served to consumers, including reworking APIs/data services to use more timely inputs and improve pricing accuracy
• Helping enable expansion of in-house capability to trade across multiple asset classes, by strengthening data foundations and delivery

What you’ll do

• Lead technical design and implementation across data services, APIs, and platform components
• Set and uphold engineering standards (patterns, code quality, reviews, testing approach)
• Drive modern delivery practices: CI/CD, test automation, DevOps ways of working
• Ensure solutions are secure, scalable, and production-ready in a regulated environment
• Mentor and support engineers through pairing, coaching, workshops and code reviews
• Work directly with front-office / investment stakeholders to translate outcomes into technical delivery
• Operate independently, owning your technical backlog and delivery plan with minimal day-to-day oversight

What they’re looking for (candidate profile)

Essential experience

• Strong hands-on technical leadership in a front-office investment/trading environment
• Background in Investment Banking, Asset Management, or Wealth Management, ideally where the organisation trades and manages its own funds
• Proven ability to deliver data-intensive platforms or services used by front-office stakeholders (trading, portfolio, risk, quants)
• Strong engineering capability across Python, SQL, Snowflake, and AWS (modern cloud patterns; serverless experience is a strong advantage)
• Comfortable owning solution design, making decisions, and driving delivery with high autonomy
• Excellent stakeholder communication skills (can influence, align, and keep delivery moving)

Desirable

• Experience with pricing / market data, ALM concepts, hedging MI, or data supplied to quant/model users
• Strong solution design skills (end-to-end data/service design)
• Experience working across multiple teams / scaled delivery environments
• Exposure to event-driven / serverless architectures and modern data engineering patterns

Why this role stands out

• Modern stack: Snowflake + AWS (serverless), building on a new platform with real scope to shape engineering direction
• Autonomy and trust-based culture: strong ownership, ability to implement what you think is best
• Front-and-centre London team build-out: a key hire helping establish and grow a new capability close to the business
• Meaningful domain challenges: pricing, hedging, investment datasets - real-world impact and complexity

Working pattern & package

• London hybrid: typically 3 days per week onsite
• Salary up to 140,000 (plus bonus)
• Strong benefits package (details shared during process)
• Open to flexible working discussions (including part-time/job share in principle)

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.