Envitia on cord

Envitia

AI Engineer

External position
Horsham, UK
Hiring internally for Envitia?
Data · Software
We empower organisations to harness the full potential of data to help build a better world
Posted
2 months ago
Checked
cord regularly checks that external positions are still open
16 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Mid, Senior
Core skills considered: Python, Machine Learning, Deep Learning
Other skills considered: Cloud Computing, Azure, Data Security

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: On-site
Visa sponsorship: Not available

Job Description

Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage.

This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise.

Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice.

Typical engagements include:

  • Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges.
  • Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights.
  • Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement.
  • Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases.
  • Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems.
  • Delivering cloud-native and containerised AI solutions within secure environments.
  • Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions.

Responsibilities

  • Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes.
  • Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency.
  • Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements.
  • Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems.
  • Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights.
  • Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle.
  • Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions.
  • Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth.
  • Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings.
  • Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice.

Experience Required


Essential

  • Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch).
  • Practical experience developing, training and evaluating machine learning, NLP and predictive models.
  • Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI).
  • Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases.
  • Understanding of MLOps practices for model deployment, monitoring and lifecycle management.
  • Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences.

Desirable

  • Experience in a consulting or client-facing delivery environment.
  • Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma).
  • Experience working with geospatial data.
  • Experience delivering within the UK public sector, Defence or National Security.
  • Exposure to Databricks and/or Snowflake.
  • A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience.

Company Benefits

  • 25 days’ holiday plus birthday off
  • Flexible working environment
  • 2 charity and fundraising days each year to get involved in projects important to you
  • Private healthcare and life assurance
  • Free parking when onsite
  • Enrolment into the company’s bonus scheme
  • £20 month towards a gym or health club of your choice

AI Engineer at Envitia
Position posted 2 months ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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