Applied scientist Work, Jobs in Sipson, Gtl (with Salaries)

Applied Scientist I
Entrust —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Python
Graduate Acoustic Stealth Scientist
QinetiQ —Farnborough
- £40,050 - £44,500 a year
- Full-time
- Analysis skills
- Communication skills
- Time management
- Employee discount
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
Acoustic Stealth Scientist
QinetiQ —Farnborough
- £49,275 - £54,750 a year
- Full-time
- Doctoral degree
- Laboratory experience
- Analysis skills
- Employee discount
Junior Data Scientist I
MarketCast UK —London
- Hybrid work
- SQL
- Analysis skills
- Maths
- Annual leave
- Flexitime
Quick apply
Scientist
Genomics —London
- Full-time
- Hybrid work
- Machine learning
- Python
- Annual leave
Software Engineer, Junior / Graduate (m/f/*)
Quaisr —London
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Annual leave
Evidence and Impact Analyst
MSI Reproductive Choices —London
- £29,200 - £36,500 a year
- Monday to Friday
- Microsoft Excel
- Communication skills
- Python
5d
Data Scientist
DAINTTA —London
- £61,000 - £83,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Annual leave
- Employee assistance programme
Quick apply
Data Scientist, Mid/Senior (m/f/*)
Quaisr —London
- £60,000 - £85,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- Linux
- Annual leave
Applied AI Engineer
Revolut —London
- SQL
- Machine learning
- AI
Research Technician
University College London —London
- £36,433 - £41,833 a year
- Full-time
- Laboratory experience
- Bachelor's degree
- Time management
- Annual leave
- Employee assistance programme
6d
Applied Scientist - LLM, Alexa
Evi Technologies Limited —London
- Full-time
- Doctoral degree
- Java
- Master's degree
Data Scientist
Harmonic Security, Inc —London
- £85,000 - £105,000 a year
- Full-time
- Hybrid work
- AWS
- Python
- Annual leave
Quick apply
Principal Applied Data Scientist
London Stock Exchange Group —London
- Full-time
- Azure
- Computer Science
- DevOps
Applied Data Scientist – Fraud Prevention
Creditspring —London
- Hybrid work
- SQL
- AWS
- Machine learning
Staff Applied ML Engineer - Financial Crime
Wise Australia Investments —London
- £145,000 - £182,000 a year
- Financial services
- Python
Applied Scientist, Agentic Automated Reasoning
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- AWS
Associate Data Scientist
Government Digital Service —London
- £45,020 - £56,355 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Presentation skills
- Annual leave
- Employee assistance programme
1d
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- Master's degree

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Applied Scientist I

Entrust -
London

Apply Now

Job details

Full-time

Qualifications

PyTorch
AWS
Machine learning
Python

Full job description

Join us at Entrust

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Get to Know Us

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

Applied Scientist I to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML.

About the Team:

You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely.

Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base.

Position Overview:

We are looking for a Applied Scientist I to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML.

What you will be doing:

Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML.
Publish research results in national and international conferences and scientific journals.
Work with product and engineering to improve our world-class identity-focused products.

Representative work:

Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models.
Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data.
Optimise LoRA adapter latency in PEFT/Triton.
Profile, debug and improve model training speed on multiple GPUs.
Create a large-scale dataset for deepfake detection.
Experiment with multimodal models to detect fraud.

You may be a good fit if you:

Have strong experience in machine learning and computer vision.
Have a strong record of successfully delivering high-performance ML-driven products.
Have a deep understanding of machine learning theory.
Have strong coding skills in Python and PyTorch.
Care about building fair and cutting-edge machine learning products.

Strong candidates may also have:

Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML.
Published at top-level machine learning conferences.
Experience optimising (distributed) training code.

Location:

London, hybrid: 3 days per week in office.

Ready to Make an Impact?

If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together.

Apply today!

NO AGENCIES, NO RELOCATION

#LI-GR1

#ENT123

At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:

Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.

Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.

We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.

Ready to Make an Impact?

If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.

Apply today!

For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube

For US roles, or where applicable:

Entrust is an EEO/AA/Disabled/Veterans Employer

For Canadian roles, or where applicable:

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact [email protected].

Recruiter:

Grace Rusingiza

[email protected]

Apply Now

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