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Mental Health jobs in United Kingdom

Senior Data Engineer - Machine Learning | Fraud & Abuse

Methodfi

City of London
Hybrid
GBP 60,000 - 80,000
30+ days ago
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Lead Infrastructure Engineer - Water Recycling (Infrastructure)

Anglian Water Group Ltd.

Peterborough
Hybrid
GBP 50,000 - 70,000
30+ days ago

Senior External Business Development Manager – London

Octopus Group

City of London
Remote
GBP 80,000 - 100,000
30+ days ago

Technician

HR GO Driving

Dover
On-site
GBP 25,000 - 30,000
30+ days ago

Senior Product Manager - Consumer Growth

Applied Intuition Inc.

City of London
Hybrid
GBP 80,000 - 100,000
30+ days ago
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Lead Enterprise Product Marketing Manager

Mesh-AI Limited

City of London
Hybrid
GBP 40,000 - 60,000
30+ days ago

Copywriters

Dept Agency

Manchester
Hybrid
GBP 30,000 - 55,000
30+ days ago

HGV Plant Operator Linesman

Freedom Group

Basildon
On-site
GBP 25,000 - 35,000
30+ days ago
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Colleague Experience Specialist – Skills & Qualifications | Remote (UK) | 40,000 per annum

School Result

United Kingdom
Remote
GBP 34,000 - 40,000
30+ days ago

Account Development Representative (Swedish Speaking) London, UK; Remote, UK

Applied Intuition Inc.

City of London
Remote
GBP 30,000 - 45,000
30+ days ago

Senior Software Engineer (AI)

MHR

Newcastle upon Tyne
On-site
GBP 125,000 - 150,000
30+ days ago

Senior AI Software Engineer — Build Next-Gen LLMs

MHR

Newcastle upon Tyne
On-site
GBP 125,000 - 150,000
30+ days ago

Economics Graduate Program: Rotations, Mentoring & Impact

Her-thology

Newcastle upon Tyne
On-site
GBP 80,000 - 100,000
30+ days ago

Economics Graduate Program (Feb 2027)

Her-thology

Newcastle upon Tyne
On-site
GBP 80,000 - 100,000
30+ days ago

Director, Ad Sales

AnaVation LLC

City of London
Hybrid
GBP 80,000 - 120,000
30+ days ago

Project Manager

Kentucky Fried Chicken (KFC)

Woking
Hybrid
GBP 60,000 - 80,000
30+ days ago

Client Partner

Elemica, Inc

Oxford
Hybrid
GBP 60,000 - 90,000
30+ days ago

Client Partner

Elemica, Inc

Oxford
On-site
GBP 60,000 - 80,000
30+ days ago

Mechanical Design Team Lead

Nova Group

Corsham
On-site
GBP 50,000 - 70,000
30+ days ago

Intensive Support Worker – Bournemouth

PBS4

Bournemouth
On-site
GBP 40,000 - 60,000
30+ days ago

Marketing Rev Ops Manager London

Mesh-AI Limited

City of London
Hybrid
GBP 50,000 - 70,000
30+ days ago

Director of Product Design London

Art.sy Inc.

City of London
Hybrid
GBP 100,000 - 150,000
30+ days ago

Account Development Representative (Danish Speaking) London, UK; Remote, UK

Applied Intuition Inc.

City of London
Hybrid
GBP 40,000 - 55,000
30+ days ago

Consultant in General Adult Psychiatry Stafford IMHT

Mpft Nhs

Stafford
On-site
GBP 80,000 - 100,000
30+ days ago

Leadership Development

Esoteric Masons

St Clears
On-site
GBP 60,000 - 80,000
30+ days ago

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Senior Data Engineer - Machine Learning | Fraud & Abuse
Methodfi
City of London
Hybrid
GBP 60,000 - 80,000
Full time
30+ days ago

Job summary

A leading AI-driven company in the UK is seeking a Senior Data Engineer to build and maintain threat detection infrastructure. You will work collaboratively to improve machine learning models, ensuring system reliability while tackling challenging problems. This role offers a supportive hybrid working environment, competitive benefits, and opportunities for professional growth.

Benefits

30 days of annual leave
Monthly full-day hacking sessions
Diverse, internationally distributed team
Regular in-person team events
Hybrid work with flexible hours
Open communication and regular feedback

Qualifications

  • Professional experience in software development using Python & SQL.
  • A solid foundation in algorithms & data structures.
  • Practical experience applying machine learning techniques to real-world problems.
  • Experience with distributed systems, computer networks, and container orchestration technologies.
  • Effective and pragmatic approach to problem-solving.
  • Comfortable with a hybrid working model.

Responsibilities

  • Build and maintain the infrastructure for threat detection.
  • Design and implement data systems for user data.
  • Improve threat detection models using ML.
  • Collaborate to build defenses against threats.
  • Ensure system reliability as the company scales.

Skills

Software development using Python
SQL
Machine learning techniques
Algorithms & data structures
Distributed systems
Container orchestration technologies
C# / .NET
Job description
Meet DeepL

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.

Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you\'re ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

What sets us apart

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it\'s like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.

Meet the team behind this journey

You will join the Abuse Prevention team, dedicated to safeguarding DeepL\'s products and users by proactively identifying and mitigating fraud and abuse across our platform. Our team is building the foundations to leverage diverse data sources and signals to detect suspicious activity, develop scalable data pipelines, and power detection models. Together, we are designing and maintaining infrastructure to enable rapid response to emerging threats. We are collaborating closely with teams across the organization to integrate our solutions seamlessly into their products and help them design effective event tracking and instrumentation that supports robust abuse detection. As we develop and expand our data processing capabilities and investigate new approaches to threat detection, you\'ll have the opportunity to shape how DeepL protects its products and users for the future.

Your responsibilities
  • As a Senior Data Engineer on this team, you will be at the core of our defence systems. Your primary mission is to build and maintain the infrastructure that allows us to detect and respond to threats in a scalable and reliable way.

    • Architecting and Building Data Solutions: Your main job is to build the data infrastructure that underpins our defenses. You\'ll get to design and implement the systems that handle huge amounts of user data, from the ground up.

    • Powering and Refining Detection Models: This is where your ML experience really comes into play. You’ll be responsible for improving our threat detection models, finding the crucial patterns in our data that help us spot and stop abuse.

    • Ensuring System Reliability at Scale: You\'ll own the systems you build. That means keeping our data pipelines and detection tools running smoothly and efficiently, even as we scale. The threat landscape changes fast, and you\'ll make sure our systems can keep up.

    • Collaborate to Protect: You won\'t be working in a silo. You\'ll team up with our backend engineers and other squads to build out key defenses like our rate limiting and bot protection systems.

    • Champion Data Excellence: We're all learning here, and we expect you to be a big part of that. You\'ll be an important voice in our data community, sharing your expertise and helping us raise our collective game.

Qualities we look for
  • Professional experience in software development using Python & SQL.

  • A solid foundation in algorithms & data structures.

  • Practical experience applying machine learning techniques to real-world problems.

  • Experience with distributed systems, computer networks, and container orchestration technologies.

  • A passion for tackling challenging problems and a growth mindset, working with other engineers to drive innovative solutions and enhance product development.

  • Effective and pragmatic: you can weigh between \"perfect\" and \"good enough\" depending on priorities and business impact.

  • Experience with C# / .NET is a plus.

  • Comfortable with a hybrid working model and able to come into our London office regularly (2x per week).

What we offer
  • Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We\'re more than just colleagues; we\'re a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we\'ve doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.

  • Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.

  • Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.

  • Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.

  • Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you\'re passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.

  • 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you\'re as strong mentally as you are professionally.

  • Competitive benefits: just as our team spans the globe, so does our benefits package. We\'ve crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.

If this role and our mission resonate with you, but you\'re hesitant because you don\'t check all the boxes, don\'t let that hold you back. At DeepL, it\'s all about the value you bring and the growth we can foster together. Go ahead, apply—let\'s discover your potential together. We can\'t wait to meet you!

We are an equal opportunity employer

You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It\'s in our diversity that we will find the power to break down language barriers in the world.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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