Senior ai/ml engineer Work, Jobs in Camden Town, Gtl (with Salaries)

Databricks Data Solution Architect
Capgemini —London
- Hybrid work
- Analysis skills
- Machine learning
- AI
Global AI/ML Engineer Senior Manager
Boston Consulting Group —London
- £173,000 - £211,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
- Profit sharing
- Annual leave
Global Learning Experience Design Senior Manager – AI-powered Upskilling Campaigns
Boston Consulting Group —London
- Full-time
- English
- Master's degree
- Project management
Senior Engineering Manager, Brand Ads and Promotions
Deliveroo —London
- Full-time
- Hybrid work
- Team management
- AI
- Leadership
Technical Deployment Lead
Anthropic —London
- £165,000 - £230,000 a year
- Hybrid work
- Up to 50% travel
- Bachelor's degree
- Machine learning
- Flexible schedule
11d
Technical Account Manager - Digital Solutions
Appvia —London
- £100,000 - £120,000 a year
- Full-time
- Hybrid work
- Agile
- AI
- Leadership
- Employee assistance programme
- Flexible schedule
Quick apply
Operations and Improvement - Managing Consultant - Process Optimisation in Financial Services
PA Consulting —London
- Full-time
- Hybrid work
- PMP
- Sales
- Customer service
- Annual leave
Quick apply
(INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI
EY —London
- Business development
- AI
- Leadership
DevOps/Site Reliability Engineer, Junior/Mid/Senior (m/f/*)
Quaisr —London
- £50,000 - £85,000 a year
- Full-time
- Hybrid work
- DevOps
- Scripting
- Communication skills
- Annual leave
Forward Deployed Engineer
Linux Recruit —London
- £120,000 - £160,000 a year
- AI
- Leadership
Lead/Senior Software Engineer - Full stack
NECSWS —Hemel Hempstead
- Full-time
- Remote
- Computer Science
- DevOps
- Engineering
- Annual leave
- Employee assistance programme
Quick apply
Staff Software Engineer, Node Infra
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- Bachelor's degree
- Mentoring
- Communication skills
- Flexible schedule
Senior AI Engineer
Bluefish AI —London
- Remote
- Master's degree
- Analysis skills
- Team management
Lead AI and Data Architect, Senior Manager – Strategy, Governance and Architecture, AI & Data
Deloitte —London
- Hybrid work
- Agile
- AI
Principal ML Engineer | Sports AI & Computer Vision
Sky —London
- Full-time
- Hybrid work
- AI
- Free parking
- Employee discount
Senior Machine Learning Engineer
Zaizi —London
- £80,000 - £95,000 a year
- Hybrid work
- AI
- Annual leave
- Work from home
Quick apply
Senior Forward Deployed Engineering Manager, AWS Forward Deployed Engineering
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- Up to 50% travel
- Engineering
Head of AI & Program Technology Engineering
International Rescue Committee —London
- £185,000 - £200,000 a year
- Hybrid work
- DevOps
- Master's degree
- Machine learning
2d
Infrastructure Engineer
OLIX —London
- £88,000 a year
- Full-time
- Computer Science
- DevOps
- Bachelor's degree
Lead Machine Learning Research Engineer
Blankstate —London
- £95,000 - £140,000 a year
- Full-time
- Research
- Machine learning
- Leadership
Quick apply

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senior ai/ml engineer jobs near camden town, gtl

Databricks Data Solution Architect

Capgemini -
London

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Job details

Permanent

Qualifications

Stakeholder collaboration
Client engagement
Spark
Data architecture experience
Google Cloud Platform
Analysis skills
ETL data integration
Machine learning
Machine learning modelling
Partnership building
Data warehousing
Data pipeline
Multidisciplinary collaboration
Solution architecture
AI
Leadership
Communication skills
Data warehouse
Pre-sales
Analytics

Full job description

Who You'll Be Working With

As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from vision through to delivery and value realisation.

You will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS and GCP along with various data platforms like Databricks and Snowflake

Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

The Focus Of Your Role

As a Solution Architect with a Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will combine deep Databricks and Apache Spark expertise with strong client engagement skills to shape solutions from early-stage opportunity through delivery. You will lead our Databricks partnership activity, helping develop joint propositions, enablement, and go-to-market plans, and you will support pre-sales by contributing to discovery, solution design, estimates, and compelling client-facing materials.

Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data across cloud and on-premises sources and targets.
Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
Ability to design, build and deploy AI/ML models: Integrate Machine Learning into data pipelines and leverage Databricks capabilities to develop predictive models and drive business insights.
Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.
Lead the Databricks partnership: Own the day-to-day relationship, coordinate joint account planning, support enablement and certifications, and contribute to joint propositions and go-to-market activity.
Support pre-sales activity: Lead/assist discovery workshops, define solution options and reference architectures, contribute to estimates and delivery approaches, and help produce high-quality proposals and presentations.
Be a Databricks champion or on the pathway to become one

What You'll Bring

You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations, and the need for trusted, mission critical data. You will have a proven ability to design secure, scalable, and well governed data foundations that support analytics, AI, and GenAI while meeting requirements for data protection, sovereignty, transparency, and auditability. You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi supplier delivery teams to align around shared standards, reuse platforms effectively, and build sustainable data capabilities that deliver long term value for citizens and public services.

Experience:

Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing Databricks solutions
Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.
Experience designing and delivering data platforms on at least one major cloud provider (AWS, Azure and/or GCP preferred).
Experience working in pre-sales roles, including shaping opportunities, producing estimates, and contributing to proposals and client presentations.
Experience leading or contributing to vendor alliances/partnerships (ideally Databricks), including joint proposition development and go-to-market activity.
Excellent problem-solving and analytical skills and strong communication and teamwork skills.
Passion for data and a thirst for learning and is either already a Databricks champion or working towards it
Relevant architecture certifications from Databricks and/or cloud providers.

Additional Information

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

What we’ll offer you

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.

Why we’re different

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.

Apply Now

Refine Your Search

senior ai/ml engineer jobs in camden town, gtl

Databricks Data Solution Architect

Global AI/ML Engineer Senior Manager

Global Learning Experience Design Senior Manager – AI-powered Upskilling Campaigns

Senior Engineering Manager, Brand Ads and Promotions

Technical Deployment Lead

Technical Account Manager - Digital Solutions

Operations and Improvement - Managing Consultant - Process Optimisation in Financial Services

(INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI

DevOps/Site Reliability Engineer, Junior/Mid/Senior (m/f/*)

Forward Deployed Engineer

Lead/Senior Software Engineer - Full stack

Staff Software Engineer, Node Infra

Senior AI Engineer

Lead AI and Data Architect, Senior Manager – Strategy, Governance and Architecture, AI & Data

Principal ML Engineer | Sports AI & Computer Vision

Senior Machine Learning Engineer

Senior Forward Deployed Engineering Manager, AWS Forward Deployed Engineering

Head of AI & Program Technology Engineering

Infrastructure Engineer

Lead Machine Learning Research Engineer

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