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914 Senior Product Manager AI Ml Data Science jobs in the United Kingdom

Senior Product Manager - AI, ML & Data Science

DataCareers

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Senior Product Manager - AI, ML & Data Science

Remote (UK-based) | Competitive Salary (up to £70k) & Benefits

Are you passionate about harnessing data, analytics, and AI to drive innovation? Do you thrive in a product leadership role within a fast-paced, technology-driven environment? If so, we have an exciting opportunity for you!

About the Role

Our client, a global leader in education technology, is seeking a Senior Product Manager to shape the future of their data-driven AI and Machine Learning products. This role is central to their mission of transforming digital assessment solutions, ensuring authenticity, inclusivity, and academic integrity for learners worldwide.

You'll be responsible for:

  • Driving product strategy - defining and executing the roadmap for data analytics, reporting, and integrations.
  • Leveraging AI & data science - using advanced analytics and machine learning to enhance user experiences and decision-making.
  • Leading cross-functional collaboration - working closely with engineering, data science, marketing, and sales teams to bring innovative solutions to life.
  • Engaging with customers - gathering insights and feedback to ensure the product remains cutting-edge and competitive.
  • Optimizing product performance - defining key success metrics and continuously improving the platform based on user data.

What We're Looking For

  • Proven experience as a Product Manager in a SaaS, software, or ideally EdTech environment.
  • Strong analytical mindset - a background in data science, AI, or machine learning is essential. Degree educated in a STEM discipline such as Mathematics, Statistics, Computer science etc.
  • Excellent problem-solving skills - with a strategic approach to product development.
  • Outstanding communication and leadership - the ability to influence stakeholders and drive innovation.
  • A passion for education technology - and a desire to shape the future of digital assessments.

Why Join?

  • Work with cutting-edge technology in an industry-leading company.
  • Fully remote role - flexibility to work from anywhere in the UK.
  • Opportunity to make a real impact on the future of learning and assessment.

If you're ready to take on this exciting challenge, apply today and be part of a team that's redefining digital assessment!

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Manager Data Science

Bournville, West Midlands Mondelez International

Posted 8 days ago

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**Job Description**
Job Description
**Are You Ready to Make It Happen at Mondelez International?**
**Join our Mission to Lead the Future of Snacking. Make It** **With** **Pride.**
You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**About the role**
In this role you will:
+ Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
+ Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
+ Support the team in analyzing?and deriving value from data using application methods such?as statistics,?time series modelling, machine learning and data?visualization?
+ Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
+ Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
+ Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
**The experience we are looking for:**
+ A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
+ 5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
+ Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)
+ Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.
+ Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.
+ Advanced English
**What we offer**
+ Exciting work in a multi-cultural team of bright minds.
+ Global career opportunities.
+ Flexible remote work options, or - if you prefer - access to one of our modern offices.
+ All kinds of benefits depending on the location.
**Relocation Support Available?**
No Relocation support available
**Business Unit Summary**
**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!**
**_Our people make all the difference in our succes_**
Mondelez International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Excited to grow your career?**
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
**IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER**
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelez International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
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Engineering Manager – AI/ML (Computer Vision Focus)

La Fosse

Posted 5 days ago

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Engineering Manager – AI/ML (Computer Vision Focus)

  • Up to £120/130k + bonus + shares
  • Remote-first – occasional travel to London
  • Innovating real-time AI in a world-class SportsTech environment


I’m working with a pioneering company in the SportsTech industry that’s scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. As part of this growth, they’re looking for an Engineering Manager – AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions.


This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. You’ll play a critical part in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture.



What you’ll be doing:

  • Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision.
  • Drive architectural decisions and technical direction across real-time AI systems.
  • Work closely with senior stakeholders to align engineering efforts with business goals.
  • Create a culture of high performance, mentorship, and continuous learning.
  • Own delivery processes and technical planning while staying high-level and strategic.
  • Ensure solutions are scalable, reliable, and well-architected for future growth.



What we’re looking for:

  • Proven experience managing high-performing engineering teams in AI/ML & Computer Vision.
  • Strong technical background with an emphasis on architecture and system design.
  • Preference for candidates with experience building real-time or low-latency systems – not essential.
  • Ability to lead without being hands-on – this role is more strategic and people-focused.
  • Excellent communication and stakeholder management skills.


If you're an engineering leader passionate about AI/ML and looking to build something impactful in a fast-paced environment, I’d love to hear from you.


Engineering Manager – AI/ML (Computer Vision Focus)

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Engineering Manager – AI/ML (Computer Vision Focus)

London, London London La Fosse

Posted 5 days ago

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Job Description

Engineering Manager – AI/ML (Computer Vision Focus)

  • Up to £120/130k + bonus + shares
  • Remote-first – occasional travel to London
  • Innovating real-time AI in a world-class SportsTech environment


I’m working with a pioneering company in the SportsTech industry that’s scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. As part of this growth, they’re looking for an Engineering Manager – AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions.


This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. You’ll play a critical part in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture.



What you’ll be doing:

  • Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision.
  • Drive architectural decisions and technical direction across real-time AI systems.
  • Work closely with senior stakeholders to align engineering efforts with business goals.
  • Create a culture of high performance, mentorship, and continuous learning.
  • Own delivery processes and technical planning while staying high-level and strategic.
  • Ensure solutions are scalable, reliable, and well-architected for future growth.



What we’re looking for:

  • Proven experience managing high-performing engineering teams in AI/ML & Computer Vision.
  • Strong technical background with an emphasis on architecture and system design.
  • Preference for candidates with experience building real-time or low-latency systems – not essential.
  • Ability to lead without being hands-on – this role is more strategic and people-focused.
  • Excellent communication and stakeholder management skills.


If you're an engineering leader passionate about AI/ML and looking to build something impactful in a fast-paced environment, I’d love to hear from you.


Engineering Manager – AI/ML (Computer Vision Focus)

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Senior Manager, Data Science

ESL FACEIT Group

Posted 410 days ago

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Job Description

Permanent

We’re looking for an inspirational leader that understands and respects the honorable burden of leading fellow brilliant minds. Someone that will have a say in how our data science team executes and how we stay true to our values.

Your mission will be to run a world-class, highly efficient, and business-impact-driving data science team. Under your leadership, this team will balance:

Delivering applicative DS models that power our market-leading innovative products.

Research Lab functionality through DS, allowing the Data Org’s proactive identification of thematic opportunities for the business.

This is a unique opportunity to shape the strategy, methodology, and execution patterns of this vital data function. And lead the team and data culture at a global, data-driven company that creates worlds beyond gameplay and brings communities together.

EXPECTATIONS
  • Serve as a Heart-First, People-First, Leader
    • Exemplify the values we live by. Know and care for the people in your teams out of the understanding that, as a leader, you work for them.
    • Nurture a blameless culture. Inspire, develop, and guide your team members to be the best that they can be.
    • Formalize your team’s identity to one everyone wants to be a part of.
  • Excel as a Senior Manager
    • Build the processes that make us run efficiently. That automates the ordinary so we can focus on the extraordinary.
    • Be a champion of best practices for project management, and find the right recipe that makes your teams demonstrate high performance.
    • Prioritize pragmatically, communicate effectively, and know when to juggle and when to focus.
  • Business & Data Focus
    • Know the data - Ask ALL the whys, relentlessly, until you know it inside-out. Instill that same rigor in your teams and push context to the entire Data Org.
    • Bring Business Value - Obsess about designing DS products that serve the business needs and provide empirical lasting value . You’re not here to produce models but to create measurable quality and impact.
  • Be the Face of Your Teams
    • Create strong bonds & true partnerships with your stakeholders at the product, company leadership, and data leadership level.
    • Translate DS needs from strategic conversations to the day-to-month actions your teams will take.
    • Tell the stories of your teams’ deliverables, know how important it is to create awareness, and bridge the gap between non-technical people and what your team does
  • Leadership Team Member
    • Demonstrate a servant-leadership mindset. Passionately deliver people, process, and culture-enabling products to our team members. Consistently.
    • Be willing and able to continuously be expected to learn and improve as a leader and a manager. Challenge and be challenged to develop together.
    • Be deliberate about our leadership team’s culture. Spend time with your fellow leaders, laugh together, cry together, and be who you really are.

Requirements

EXPERIENCE

  • Data Science Lifecycle
    • You have experience in building towards the bigger picture of the ecosystem you’re working in: adding to Data Quality, Monitoring/Observability tools, etc. You know your code will not exist in a void.
    • You’ve participated in shaping a CI/CD process of a data science portfolio before. It’s not only about taking a model to production; it’s about maintaining many of them in a constant optimal state.
    • You’ve learned and have honed your method of how you pragmatically identify and prioritize the most promising hypotheses.
    • You have examples of every business metric you’ve moved through DS, as this is the best way you’ve learned to measure your impact.
  • Science Hands-On
    • You have a rich experience with many EDA techniques. You know how to use the right one for a specific problem.
    • You have a track record of end-to-end model delivery by yourself. Developing, training, deploying, you’ve been through it all and know how to navigate the lifecycle efficiently.
    • You have a large toolbox you’ve been assembling for years, from R/Python, through SQL, statistical methods, distributed "big data" technologies (e.g., Spark, Hive, BigQuery, redshift), GCP/AWS/Azure ecosystems and their different SaaS experience. And you know when to use the right tool for the job and not the other way around.
  • Stakeholder management
    • You are proficient in translating data science efforts into business language, you understand that “if you can’t explain it simply, you don’t really understand it”
    • You spent your time and energy creating strong relationships with other teams. Whether they were in product or internally in analytics, you can speak the language that will create bonds. And have a track record to show it.
  • Progression of Champions
    • A history of experience through the trenches: growing up in statistics, analytics, and DS, serving as a tech lead, leading scientists, Seniors, and Staff scientists.
    • You wore different hats, and you’ve walked a mile in different shoes.
TRAITS
  • You like to have a good time while getting things done. When we say a “team player,” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
  • You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool.
  • Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.
  • You make the time to cheer and enjoy the ride.
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AI Engineer - Data Science

London, London London causaLens

Posted 5 days ago

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Job Description

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.


Requirements

We are seeking AI Engineers with strong data science expertise who are excited to help world-leading enterprises deploy cutting-edge AI agents. The ideal candidate will bring a blend of:

  • experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
  • critical: up-to-speed with the latest AI tools and active (daily) leverage of the same (co-pilots, MCPs, agentic workflows, RAGs, LLMs) - we appreciate these are new and fast moving technologies - so, we are not looking for years of experience with these, but the proactive, keen adoption and leverage across
  • stakeholder management, solution architecture and delivery. You will work closely with clients, translating business problems into scalable, intelligent solutions.


You’ll collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform.

Benefits


We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance, we offer the following:

  • 25 days of paid holiday, plus bank holidays
  • carry over/sell holiday options (up to 5 days)
  • Share options
  • Pension scheme
  • Happy hours and team outings
  • Referral bonus program
  • Cycle to work scheme
  • Friendly tech purchases
  • Benefits to choose from, including Health/Dental Insurance
  • Special Discounts
  • Learning and development budget
  • Work abroad days
  • Office snacks and drinks

Logistics

Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approx 3 hours in-person challenge followed by an in-person presentation and interviews.

Have questions? We encourage open dialogue—reach out anytime.


If you require accommodations during the application process or in your role at causaLens, please contact us at

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AI Engineer - Data Science

causaLens

Posted 5 days ago

Job Viewed

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Job Description

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.


Requirements

We are seeking AI Engineers with strong data science expertise who are excited to help world-leading enterprises deploy cutting-edge AI agents. The ideal candidate will bring a blend of:

  • experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
  • critical: up-to-speed with the latest AI tools and active (daily) leverage of the same (co-pilots, MCPs, agentic workflows, RAGs, LLMs) - we appreciate these are new and fast moving technologies - so, we are not looking for years of experience with these, but the proactive, keen adoption and leverage across
  • stakeholder management, solution architecture and delivery. You will work closely with clients, translating business problems into scalable, intelligent solutions.


You’ll collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform.

Benefits


We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance, we offer the following:

  • 25 days of paid holiday, plus bank holidays
  • carry over/sell holiday options (up to 5 days)
  • Share options
  • Pension scheme
  • Happy hours and team outings
  • Referral bonus program
  • Cycle to work scheme
  • Friendly tech purchases
  • Benefits to choose from, including Health/Dental Insurance
  • Special Discounts
  • Learning and development budget
  • Work abroad days
  • Office snacks and drinks

Logistics

Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approx 3 hours in-person challenge followed by an in-person presentation and interviews.

Have questions? We encourage open dialogue—reach out anytime.


If you require accommodations during the application process or in your role at causaLens, please contact us at

This advertiser has chosen not to accept applicants from your region.

Technical Product Manager - AI Platforms - GenAI Developer Platform

London, London London Bloomberg

Posted 4 days ago

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Job Description

Technical Product Manager - AI Platforms - GenAI Developer Platform
Location
London
Business Area
Engineering and CTO
Ref #
10044042
**Description & Requirements**
Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do.
For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly develop, deploy and maintain AI products and features.
**What's in it for you**
We are looking for a Technical Product Manager to shape and execute the vision and roadmap for our Generative AI application development lifecycle. As a product manager, you will focus on the end-to-end user experience, share ownership of the product roadmap for our AI Platforms, and build out new features, capabilities, and integrations to fulfill our mission. You'll be making decisions on how to streamline the GenAI developer workflow around tools, agents, evaluation, and more. You will work in a group of other highly motivated product managers that work on a range of adjacent projects around AI application development. You will interact very closely with internal stakeholders from product, engineering, and UX. This is a high-leverage role in a very cross-functional environment, so you'll need to be comfortable wearing many hats and balancing technical expertise with business acumen.
**We'll trust you to**
+ Develop a long-term technical strategy, roadmap, framework, design patterns, tools for improving the developer experience for GenAI applications
+ Partner closely with AI product and engineering teams to accelerate their critical projects
+ Interact with internal users and diverse group of partners to understand their workflows and technical requirements, and develop a deep understanding of an ideal user experience
+ Foster a culture of collaboration with your Engineering and UX counterparts
+ Prioritize, plan, make decisions, ask the right questions, and understand how to plan for and manage resources effectively
+ Take the initiative, be proactive, be inclusive, innovate, advocate, understand the priorities for the business, and do what's best for Bloomberg
**You'll need to have**
+ 5+ years of experience in technical product management
+ Experience working with developerteams and productionizing AI or other data-intensive applications
+ Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits
+ Deep understanding of software development best practices
+ Organizational and communication skills to effectively coordinate and work with engineers, UX, subject matter experts, other product managers, and senior management
+ A product-driven focus and track record of shaping business strategy and roadmaps for technical products
**We'd love to see**
+ A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience
+ Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs
+ Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements
+ Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure
+ Open source involvement or community presence
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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About the latest Senior product manager ai ml data science jobs in United Kingdom!

Head of AI and Data Science

Uniting Ambition

Posted today

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Job Description

Head of AI and Data Science

Remote

Full-time | Permanent

110k – 130k + Benefits


This is an opportunity to join an established automotive SaaS business that is looking to build and scale a new Gen AI capability, focusing on Generative AI, classical Machine Learning, and early-stage Data Science.

You’ll drive the vision, design, and deployment of high-impact AI solutions, while also building out the team, processes, and infrastructure needed to support enterprise-scale AI adoption.


What You’ll Do

Lead AI strategy & execution -

  • Define the AI vision across GenAI, ML, and Data Science disciplines.
  • Build and lead an internal AI Centre of Excellence.
  • Act as the primary AI representative in leadership and product discussions.


Deliver generative AI solutions -

  • Design and deploy GenAI applications (e.g. virtual assistants, copilots, RAG systems)
  • Set up scalable LLMOps pipelines: model evaluation, versioning, and governance.
  • Monitor developments in the GenAI landscape and evaluate adoption paths.


Support machine learning projects -

  • Collaborate with ML Engineers on classical ML initiatives
  • Guide model lifecycle processes including training, deployment, and monitoring.
  • Provide hands-on support with experimentation pipelines and MLOps tooling.


Lay the groundwork for Data Science -

  • Act as the initial Data Science contributor for analytics and decision-support needs.
  • Build foundational tools and frameworks for testing, metrics, and statistical analysis.
  • Help shape the future team structure, tool stack, and hiring strategy.


About You

Must-Haves

  • Experience delivering production-ready GenAI solutions
  • Solid grasp of LLMs, prompt engineering, and RAG workflows
  • Familiarity with MLOps practices and deployment of classical ML models
  • Competence in statistical modelling and A/B testing frameworks
  • Proficiency in Python and at least one other programming language
  • Strong understanding of cloud environments (ideally AWS)
  • Proven team leadership and mentoring capabilities
  • Excellent communicator with strong stakeholder influence skills

Nice-to-Haves

  • Experience with AWS AI ecosystem (e.g. SageMaker, Bedrock, Lambda)
  • Knowledge of low/no-code GenAI platforms
  • Background in platform or DevOps for AI systems
  • Awareness of ethical AI principles and governance frameworks


Why This Role?

This is a rare greenfield opportunity to define and build an AI practice from the ground up. You’ll have the autonomy to shape both strategy and execution, while working at the intersection of cutting edge GenAI, scalable ML systems, and impactful business use cases.

If this sounds like you and you're ready to lead, build, and experiment, please apply for more.

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Technical Product Manager - Data Platform

Morley, Yorkshire and the Humber £66000 - £75000 Annually VIQU Limited

Posted 10 days ago

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Job Description

permanent

Technical Product Manager – Data Platform

Hybrid | Leeds | Permanent | £66,000 - £5,000

VIQU has partnered with a leading logistics company and a looking for a Data Engineering Product owner to join their Data Engineering Team! 

You'll need:

-    8 years of experience in Data Engineering

-    Expertise in Databricks , Spark and Python

-    Strong SQL skills

-    Hands on experience dwith AWS

-    Familiarity with test-driven development , CI/CD , and delivery principles .

What you'll be doing:

-    Domain Expertise & Strategy

-    Technical Leadership

-    Solution Delivery

-    Innovation & Problem Solving

-    Stakeholder Engagement

-    Risk Management & Compliance

Technical Product Manager – Data Platform

Hybrid | Leeds | Permanent | £66,000 - £75,000

discuss this exciting opportunity in more detail, please APPLY NOW  for a no obligation chat with your VIQU Consultant. Additionally, you can contact Aaron Chiverton  at (url removed)

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,00 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

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Data Product Manager - Data Platform & Governance

La Fosse

Posted 1 day ago

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Job Description

contract

Overview:

We're hiring a Product Manager to own our backend data platform-governed datasets, quality enforcement, platform tooling, and integrations with Azure and Databricks. You'll shape how data products are built, validated, and consumed across the enterprise.

Key Responsibilities:

- Define and manage governed data products across medallion architecture (Bronze, Silver, Gold).

- Drive platform imp.


WHJS1_UKTJ

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