Recherche actuelle

AI Engineer - Generative AI - £60,000 - Remote





Company Overview:

Our client is a Microsoft-partnered consultancy that excels in delivering exceptional data and AI solutions to a diverse array of clients. Their expertise includes advanced data analytics, artificial intelligence, and custom finance solutions, ensuring tailored support for each unique business need. Recognising the importance of work-life balance, the company fosters a culture that values employee well-being, significantly boosting morale and productivity. Consequently, the role is designed to be almost entirely remote, offering flexibility and a supportive work environment.

Client has large plans to massively grow out their Data & AI team, and with VC backing the sky is the limit!

Role Overview:

The client is looking for a talented Data / ML engineer to come in as a consultant to work on a large variety of projects across multiple industries. The role will utilise all the latest AI tech including Gen-AI, ML and Open AI.

As a consultant you will be working directly with clients to understand business needs and implement industry best AI solutions accordingly.

Requirements:

* Strong Python experience, particularly for AI/ML use
* Experience with cloud technology, Azure preferred
* Data Science, Machine Learning and AI tech experience

Benefits:

* 10% Bonus
* Remote Working
* 25 Days Annual Leave + Bank Holidays
* Annual Salary Review
* + Much more





This is an unmissable chance to hone your skills and grow your career working for a top Microsoft partner, interviews are already underway so don't miss your chance. Apply Now!



Contact - j.shaw-bollands@tenthrevolution.com // 01913386641



ML, Machine Learning, AI, Artificial Intelligence, Data Science, Azure, ADF, Data Engineer, Azure Data Factory, Data Consultant, Consultancy, Microsoft, API, D365, Data Architect, Pre-Sales, Consultant

Full Stack Developer - React, Node and AWS. 5 days per week in Barnet



A construction firm are recruiting for their first in house developer to design and deliver a production-grade internal software system. You'll have a high degree of autonomy and ownership from day one. Responsibilities will include:

* Design, develop and deploy new internal web apps from scratch - starting with a procurement and project finance tool
* Own the full lifecycle: from concept and wireframe, through API and database design, to deployment and iteration
* Build out the front end using React, TypeScript and Tailwind - translating broad requirements into clean UI/UX
* Build and maintain APIs using Node.js and PostgreSQL - architecting scalable, secure server-side code
* Set up and manage AWS infrastructure using Docker and GitHub Actions for CI/CD and automated deployments
* Create dev, staging and production environments, and manage them responsibly
* Collaborate directly with leadership to prioritise features and refine product goals
* Contribute to product decisions - helping shape what gets built and why, not just how
* Lay the groundwork for future engineers by creating reusable components, robust architecture, and clean documentation

You will need 3+ years of commercial full stack experience working with React and Node.js, as well as hands on DevOps capability - you will have deployed production systems to AWS yourself. The successful candidate will be someone who thrives in smaller companies with lean teams and wants to have a big impact. You will be owning problems end to end - infrastructure, deployment, front and back, and comfortable making DevOps decisions.

Lead AWS Data Engineer / Architect - Databricks - London

I'm working with a globally renowned financial services client that are looking for a seasons Data professional. My client are seen as leaders and pioneers within their relative field but also, a very well known house hold name. They have operations in near enough every country and despite having such a huge presence globally, they still pride themselves on having their employees at the heart of every bit of success.
This has lead them onto winning multiple awards such as being named in the top 100 best companies to work for along side many other outstanding accolades.

This is a hands on technical role. The successful applicant will be building and maintaining AWS Data pipelines and infrastructure. This is while working with cross functional teams to design best in Class data solutions across the business. As a business, they are very mature within their data services however, there is always room for improvements so we're looking for an expert to not look to be involved in new processes but equally, help to reverse engineer the existing platform to increase efficiency and performance.

This is a salaried position paying up to £130k as a base salary. It's hybrid working with 2/3 days in office, central London. My client pride themselves on having their employees at the heart of everything that they do and their success has come from their outstanding workforce. They like to return the favour by offering unparalleled career progression opportunities along side training courses and certifications.

Key Requirements

* Proven experience with AWS services and tools.
* Strong knowledge of data modeling and ETL processes.
* Proficiency in programming languages such as Python or SQL.
* Excellent problem-solving skills with a proactive approach.
* Ability to communicate effectively within a team.

If you are a skilled and driven AWS Data Engineer looking to make an impact, get in touch ASAP as interviews are already taking place. Don't miss out!

Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London

Role: Senior data engineer
Location - London/Hybrid (2 days per week in office)
Permanent

My client is currently hiring a Data Engineer to join an innovative greenfield insurance initiative based in London.



Key Responsibilities:

Design and implement scalable data pipelines to support a modern data platform.

Lead data migration efforts and manage data governance activities.

Mentor junior team members and promote engineering best practices.

Collaborate with stakeholders to understand data needs and translate requirements into technical solutions.

Support ongoing data transformation projects and ensure data quality across the board.



Requirements:

5+ years professional experience within Data engineering

Strong hands-on experience with Snowflake (required).

Familiarity with DBT, Airflow, and AWS (preferred).

Background in building and maintaining robust data architectures.

Ability to identify and resolve complex data issues and improve data validation processes.

Excellent communication skills and a proactive, team-oriented mindset.



Visa sponsorship is not available for this role.

Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level

Location: London - Canary Wharf (Hybrid: 2-3 days/week in office)
Salary: Up to around £120,000 + Bonus + Benefits
Employment Type: Permanent
Industry: Financial Services

We're working with a prestigious financial services client on a greenfield data engineering opportunity that's set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies.

This individual contributor role is ideal for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake, collaborating with data scientists and stakeholders across multiple business units.

Key Responsibilities:

* Design, build, and maintain scalable data pipelines and architectures.
* Implement secure and efficient data lakes and warehouses to manage high-volume, high-velocity data.
* Develop advanced data processing and analysis algorithms using Python and SQL.
* Collaborate with data scientists to deploy machine learning models.
* Contribute to strategic planning, risk management, and governance initiatives.
* Act as a subject matter expert, guiding technical direction and mentoring junior engineers.

What We're Looking For:

* Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation, etc.
* Proficiency in Python and SQL for data processing and analysis.
* Deep understanding of data governance, quality, and security best practices.
* Experience working with market data and its applications.
* Excellent communication and stakeholder management skills.

Nice to Have:

* Experience with Databricks and Snowflake.
* Exposure to machine learning and data science

Why Apply?

* Be part of a greenfield build with strategic visibility and long-term impact.
* Work with cutting-edge technologies in a collaborative, forward-thinking team.
* Enjoy a Vice President-level role with technical leadership and autonomy.
* Hybrid working model: 2-3 days/week in Canary Wharf office.

Interested in learning more?
Apply now or reach out for a confidential chat.



Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at v.simpson@tenthrevolution.com

Data Engineer - Permanent

As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code.

Responsibilities

* Build and maintain scalable distributed systems using Scala and Java
* Design complex Spark jobs, asynchronous APIs, and parallel processes
* Use Gen AI tools to enhance development speed and quality
* Collaborate in Agile teams to improve their data collection pipelines
* Apply best practices like TDD, SOLID, and their engineering standards
* Design relational and non-relational databases and data models
* Support the Data Science team in deploying machine learning models to production
* Leverage data structures, algorithms, and design patterns effectively
* Foster empathy and collaboration within the team and with customers

Preferred Experience

* Degree in Computer Science or equivalent practical experience
* Commercial experience with Spark, Scala, and Java (Python is a plus)
* Strong background in distributed systems (Hadoop, Spark, AWS)
* Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ)
* Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi)
* Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack)
* Proven problem-solving mindset and ability to adapt solutions to complex challenges
* Hands-on use of Gen AI tools for coding, debugging, or system design

Fully Remote
Brilliant benefits package

Please send me a copy of your CV if you meet all of the requirements

Data Scientist - £80,000 - Hybrid - London



Company Overview:

My client is a trusted partner for major clients across a range of data and AI driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. Due to their commitment and motivation to stay at the top of their industry, there is constant investment in research and development to stay ahead of trends by working with, and developing their own, cutting-edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development.

Role Overview:

As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end-to-end models and use a combination of NLP and OCR-based extraction techniques.

In addition to the technical expertise you will bring and develop, this is a consultant role and you will be working with key stakeholders in large financial institutions, good communication is essential.

Requirements:

* Python Expertise
* Supervised and Unsupervised Learning
* NLP and OCR Experience
* Exposure to Modern Cloud Platforms (EG. Databricks, AWS)
* Abillity to Communicate Technical Concepts

Nice to Have:

* Financial Services Experience





Interviews ongoing don't miss your chance to secure the future of your career!



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.











Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking

AI Technical Consultant - Home-based - £60k City of London, England



Salary:GBP0 - GBP60000 per annum + +10% bonus

AI Technical Consultant - Home-based - £60k

Please note - this role offers a home-based contract but you will be required to attend the London based office/client site around once per month. To be eligible for this role you must have the unrestricted right to work in the UK - this organisation is not able to offer sponsorship.

Who We're Looking For

We're looking for a passionate and skilled AI Technical Consultant to join our agile team. In this role, you'll provide expert guidance and support to clients in implementing and optimising AI technologies. You'll work closely with stakeholders to understand business needs, design tailored AI solutions, and ensure successful deployment and integration.

This is a remote-first position, with occasional travel to client sites and company events.

What You'll Be Delivering

* Collaborate with clients to identify business challenges and AI opportunities.
* Design and develop AI models and algorithms to meet client needs.
* Provide technical expertise in machine learning, NLP, and computer vision.
* Conduct data analysis and preprocessing for model training.
* Deploy AI models into production environments and monitor performance.
* Offer training and support on AI tools and best practices.
* Stay current with the latest AI and machine learning advancements.

What You'll Bring

* Proven experience in AI and machine learning with a strong project portfolio.
* Proficiency in Python, R, or Java.
* Familiarity with AI frameworks and libraries.
* Strong analytical and problem-solving skills.
* Excellent communication and interpersonal abilities.
* Experience with cloud platforms (Azure, AWS, or Google Cloud).
* Knowledge of optimisation techniques and design patterns for large data solutions.
* Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred).

Whats on Offer

We believe in rewarding our team for their contributions. Here's what you can expect:

* Flexible working
* 25 days holiday.
* Monthly home working allowance.
* 24/7 GP access and Employee Assistance Programme.
* Company sick pay scheme.
* Private health insurance after 1 year.
* Enhanced parental leave and pay.
* Access to Perkbox, Cycle scheme, and Electric car scheme.
* And much more!

To apply for this role please submit your CV

AWS Data Engineer - VP Level

Location: London (Canary Wharf)
Salary: £115000 - 120000

A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units.

Key Responsibilities:
* Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies.
* Implement robust data governance, quality, and security practices.
* Collaborate with data scientists to deploy machine learning models.
* Lead or contribute to strategic planning, risk management, and stakeholder engagement.
* Drive innovation through advanced analytics and research-based problem solving.

To be successful you should have:

* 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
* Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.
* Proficiency in data processing and analysis using Python and SQL.
* Experience with data governance, data quality, and data security best practices.
* Strong knowledge of market data and its applications.

Some other highly valued skills may include:

* Experience with other data engineering tools and technologies.
* Knowledge of machine learning and data science concepts.
* Familiarity with Barclays' data strategy and practices.



Please send me your CV is you meet these requirements and we can then arrange call

AI Technical Consultant - Permanent

Job Decription

As an AI Technical Consultant, you will be working as part of an agile team you will be responsible for providing expert guidance and support to our clients in the implementation and optimisation of AI technologies. You will work closely with clients to understand their business needs, design AI solutions, and ensure successful deployment and integration.
We work with a Winning from Anywhere approach but there is an element of travel to client sites when required, along with travel to our company conference and events.

What you'll be delivering

* Collaborate with clients to identify business challenges and opportunities for AI solutions.
* Design and develop AI models and algorithms to address client needs.
* Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision.
* Conduct data analysis and preprocessing to prepare datasets for AI model training.
* Proven experience in data science and analytics, with a strong portfolio of successful projects.
* Implement and deploy AI models into production environments.
* Monitor and evaluate the performance of AI models and make necessary adjustments.
* Provide training and support to clients on AI tools and best practices.

Stay up to date with the latest advancements in AI and machine learning technologies

We think you'll be successful in this role if you have some of the following

* Proven experience in AI and machine learning, with a strong portfolio of successful projects.
* Proficiency in programming languages such as Python, R, or Java.
* Experience with AI frameworks and libraries
* Strong analytical and problem-solving skills.
* Excellent communication and interpersonal skills.
* Ability to work independently and as part of a team.
* Experience with cloud platforms such as Azure, (AWS or Google Cloud)
* Good knowledge of optimisation techniques and design patterns for large data solutions.
* Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is a plus

Home-based

Excellent benefits

£50000 - 55000 Salary

Please send a copy of your CV if you meet the requirements and are interested in the role