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Data Architect (Databricks or Microsoft Fabric)
£110,000–£125,000
Hybrid – 2 days a week in London, Manchester, or Edinburgh

We’re looking for a twoexperienced Data Architects to design and deliver modern, scalable data platforms built on full Azure stack. One of these roles is for someone to and come expertise in Databricks, the other Microsoft Fabric. You’ll lead the architecture of Lakehouse solutions supporting advanced analytics, AI/ML, and business intelligence, working closely with clients to shape data strategies and deliver real business value.

This is a UK‑based role (Edinburgh, Manchester or London) with hybrid working.

Key Details

Salary: Up to £125,000 per annum

Start Date: ASAP (our client can work around notice periods of up to 3 months)

Employment type: Permanent

What you’ll do

• Demonstrate deep expertise in enterprise-level data analytics solutions end-to-end, with a focus on Lakehouse Architecture and ML/AI-driven analytics.
• Design scalable data models and pipelines using Spark, Delta Lake, and PySpark.
• Lead client engagements, shaping data strategies and best‑practice architectures.
• Win business through presenting solutions and advising potential clients.
• Optimise Databricks performance, security, and cost efficiency.
• Implement governance, CI/CD, and cloud best practices.

What you’ll bring

• At least 5 years experience in Data Architecture.
• Fabric experience.
• End to end pre‑sales experience.
• Hands‑on data engineering skills (Python, Scala, SQL).
• Experience with Azure.
• Experience with Databricks.
• Solid understanding of data modelling (Kimball, 3NF, Data Vault).
• Excellent stakeholder communication and consulting skills.

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Sensefolio is seeking an experienced NLP Engineer to design and implement NLP models for large-scale ESG textual data. You will collaborate with data scientists and developers to enhance ESG rating methodologies and data pipelines, while staying current with NLP and ML advancements.

The role emphasizes developing robust models, documenting performance metrics, and contributing to innovative ESG analytics in finance. Remote work options with London base supported by Sensefolio.

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A FTSE 100 organisation is seeking a Senior Operational Research Data Scientist on an initial 18-month contract in London with hybrid working. The role focuses on developing and deploying sophisticated optimisation and decision-support solutions to drive measurable business outcomes.

You will solve complex operational challenges using mathematical modelling, optimisation, simulation and advanced analytics, shaping strategic decisions and improving operational performance at scale.

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Job Description

“Ricardo is now a member of WSP. As we complete our integration, you may see references to both WSP and Ricardo during the application and interview process.”

What if you could do the kind of work the world needs? Our Digital Services team build software in collaboration with WSP's wide range of internationally recognised environmental experts and scientists, creating new and innovative solutions to tackle some of the world's most pressing environmental challenges. You therefore have the opportunity to help contribute to digital services that support better environmental outcomes for clients and communities.

We tackle some of the world's toughest environmental challenges, working on monitoring and improving air quality in cities, guiding decisions about energy generation and use, helping governments with climate change and resource efficiency, developing policies about transport and water resources, and offering emergency response services for chemical spills.

We have an opportunity for an experienced Senior or Principal Data Scientist to join our team. You will work across the wider business in order to provide best practice leadership and guidance to the practices, who are helping national Governments, the European Commission and international bodies such as the Asian Development Bank and World Bank in the development, implementation and appraisal of environmental policy and technical solutions.

A Little More About Your Role

From day one, you’ll be involved in delivering high-profile projects. You will use your technical skills to support colleagues in best practice, data wrangling and applying the latest data analysis techniques utilising a professional software development approach.

You will have the capacity and curiosity to work across a range of thematic areas and will collaborate closely with technical experts in multi‑disciplinary teams. You should also enjoy solving complex analytical problems and demonstrate exceptional critical thinking skills.

What You'll Be Doing

You will carry out research and analysis that drives innovation for our consultancy projects. You will manage your time across several projects, contributing to data cleaning, data analysis, modelling and report‑writing. This is a varied role in which you will have the opportunity to work on different projects and gain broad exposure to the world of environmental consultancy. You will also work collaboratively with professionals within the business to introduce them to data engineering concepts, with opportunities to mentor and upskill data engineers and analysts, creating a standardised and professional development approach to Python development throughout the business.

What We'd Like You To Demonstrate

• Strong proficiency in Python
• Demonstrable experience of developing data pipelines, manipulating and cleaning data, extraction of data
• Using versioning systems (Git), task, test and release management tool
• Relevant Python libraries (NumPy, Pandas, Scikit‑Learn)
• Understanding of statistics and both the applications and limitations of machine learning
• Strong oral and written communication skills in order to synthesise findings, communicate insights and visualise results.
• Interest and ability to learn and apply new technologies
• Bachelors (2.1 or above) or Masters degree in a relevant discipline (data science, computer science, economics or related)

Don’t quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team.

Imagine a better future for you and a better future for us all

Join our close‑knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.

With us, you can. Apply today.

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**"Ricardo is now a member of WSP. As we complete our integration, you may see references to both WSP and Ricardo during the application and interview process."**
**What if you could do the kind of work the world needs?**
Our Digital Services team build software in collaboration with WSP's wide range of internationally recognised environmental experts and scientists, creating new and innovative solutions to tackle some of the world's most pressing environmental challenges. You therefore have the opportunity to help contribute to digital services that support better environmental outcomes for clients and communities.
We tackle some of the world's toughest environmental challenges, working on monitoring and improving air quality in cities, guiding decisions about energy generation and use, helping governments with climate change and resource efficiency, developing policies about transport and water resources, and offering emergency response services for chemical spills.
We have an opportunity for an experienced Senior or Principal Data Scientist to join our team. You will work across the wider business in order to provide best practice leadership and guidance to the practices, who are helping national Governments, the European Commission and international bodies such as the Asian Development Bank and World Bank in the development, implementation and appraisal of environmental policy and technical solutions.
**A little more about your role.**
From day one, you'll be involved in delivering high-profile projects. You will use your technical skills to support colleagues in best practice, data wrangling and applying the latest data analysis techniques utilising a professional software development approach.
You will have the capacity and curiosity to work across a range of thematic areas and will collaborate closely with technical experts in multi-disciplinary teams. You should also enjoy solving complex analytical problems and demonstrate exceptional critical thinking skills.
**What you'll be doing**
You will carry out research and analysis that drives innovation for our consultancy projects. You will manage your time across several projects, contributing to data cleaning, data analysis, modelling and report-writing.
This is a varied role in which you will have the opportunity to work on different projects and gain broad exposure to the world of environmental consultancy. You will also work collaboratively with professionals within the business to introduce them to data engineering concepts, with opportunities to mentor and upskill data engineers and analysts, creating a standardised and professional development approach to Python development throughout the business.
**What we'd like you to demonstrate.**
+ Strong proficiency in Python
+ Demonstrable experience of:- Developing data pipelines, manipulating and cleaning data, extraction of data- Using versioning systems (Git), task, test and release management tool- Relevant Python libraries (NumPy, Pandas, Scikit-Learn)
+ Understanding of statistics and both the applications and limitations of machine learning
+ Strong oral and written communication skills in order to synthesise findings, communicate insights and visualise results.
+ Interest and ability to learn and apply new technologies
+ Bachelors (2.1 or above) or Masters degree in a relevant discipline (data science, computer science, economics or related)
**Don't quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team.**
**Imagine a better future for you and a better future for us all.**
Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
**With us, you can. Apply today.**

**Introduction**
At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.
You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.
We invest heavily in you--supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.
We offer:
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.
**Your role and responsibilities**
Unleash your leadership potential as a Senior Data Engineer supporting public sector and defence IBM accounts, driving the development of innovative advanced analytics solutions. In this role, you will lead the charge in fostering innovation, promoting a culture of continuous improvement, and supporting the growth of junior engineers.
Join our Data Engineering team and make a meaningful impact on advanced analytics initiatives across our public sector and defence clients. Apply today and take the next step in your Data Engineering career.
Responsibilities:
- Lead the development of advanced analytics solutions to address complex business challenges within public sector and defence environments.
- Mentor and support junior data engineers in their professional growth.
- Conduct statistical analysis, data collection, data mining, and text mining activities.
- Design, build, and oversee solutions for advanced analytics projects.
- Use predictive analytics tools (such as SPSS) to draw insights and communicate findings.
- Stay current with emerging trends and technologies in advanced analytics, helping to drive innovation across the organization.
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations.
This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
* Demonstrated leadership and mentoring skills.
* Publication record in peer-reviewed journals or reputable industry publications.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Gravitas Group is seeking experienced Data Architects with expertise in Databricks or Microsoft Fabric to design scalable data platforms. You will lead architecture for Lakehouse solutions, supporting analytics, AI, and business intelligence while collaborating with clients.

This position is hybrid with locations in Manchester, Edinburgh, or London, offering a salary of up to £125,000 per annum. Candidates should possess at least 5 years of Data Architecture experience with strong skills in Azure.

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Futureheads is seeking a Mobile Engineer (iOS or Android) for an AI startup with a remote-first model and a London office. You will own native mobile features from design through to production and work with backend and machine learning engineers to deliver AI-powered experiences on mobile devices.

The role requires commercial experience developing native apps, strong Swift/SwiftUI or Kotlin, shipping production apps, and API integration, with a focus on performance and product quality.

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A major international transport company is seeking a Senior Operations Research Data Scientist for a contract role focused on optimising logistics and operational efficiency. This hands-on position requires proven experience in building optimisation solutions in production. The candidate will work closely with teams to deliver practical models for operational problems. The role offers £600-£900 per day, a hybrid work environment in London, and involves occasional travel within Europe.
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