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

Applied Scientist I
Entrust —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Python
Data Scientist — Data Engineering & Applied AI
Nationwide Utilities —London
- £36,500 a year
- Part-time
- Computer Science
- Engineering
- No experience needed
Quick apply
2d
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- Master's degree
1d
Trainee Healthcare Scientist (Echocardiographer)
Guy's and St Thomas' NHS Foundation Trust —London
- £47,951 - £56,863 a year
- Full-time
- Travel
- Teaching
14d
Research Scientist - Tooting
City St George's, University of London —London
- Data analysis skills
- Laboratory experience
- Maintenance
Applied Scientist, Observability and Triage, Prime Video
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- Master's degree
2d
Associate Applied AI & ML Scientist - Markets Operations
JPMorganChase —London
- Full-time
- Azure
- Doctoral degree
- Computer Science
Process Scientist
South East Water —Pembury
- £31,733 - £41,930 a year
- Full-time
- Hybrid work
- Driving
- Communication skills
- Annual leave
10h
Applied Scientist, Agentic Automated Reasoning
Amazon Development Centre (London) Limited —London
- Full-time
- Java
- Master's degree
- AWS
6d
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —London
- Full-time
- Doctoral degree
- Java
- Master's degree
1d
Science Team Internship
Climate X —London
- Full-time
- Machine learning
- Internship
- Python
Scientist
Genomics —London
- Full-time
- Hybrid work
- Python
- Annual leave
Staff/Senior Applied Scientist
NLPatent —London
- £90,000 - £110,000 a year
- Full-time
- Hybrid work
- AWS
- Bachelor's degree
- Machine learning
Quick apply
Research Assistant
University College London —London
- £36,433 - £41,833 a year
- Full-time
- Laboratory experience
- Master's degree
- University
- Annual leave
- Employee assistance programme
14d
Senior Applied Scientist, Insights, Prime Video
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Engineering
- Java
Medical AI Scientist
Scarlet —London
- £95,000 - £115,000 a year
- Full-time
- Doctoral degree
- Master's degree
- AI
Data Scientist
SHI International Corporation —London
- £45,000 - £60,000 a year
- Full-time
- SQL
- Machine learning
- Python
2d
Applied Scientist II, Strategic Account Services (SAS)
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- Doctoral degree
- Java
- Master's degree
Data Scientist (London)
The Voleon Group —London
- Full-time
- Hybrid work
- Data analysis skills
- Master's degree
- SQL
- Referral programme
14d
Applied Science Manager, Alexa International
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
1d

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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

Refine Your Search

applied scientist jobs in sidcup, gtl

Applied Scientist I

Data Scientist — Data Engineering & Applied AI

Applied Scientist, Alexa International Tech

Trainee Healthcare Scientist (Echocardiographer)

Research Scientist - Tooting

Applied Scientist, Observability and Triage, Prime Video

Associate Applied AI & ML Scientist - Markets Operations

Process Scientist

Applied Scientist, Agentic Automated Reasoning

Sr. Applied Scientist, Alexa International

Science Team Internship

Scientist

Staff/Senior Applied Scientist

Research Assistant

Senior Applied Scientist, Insights, Prime Video

Medical AI Scientist

Data Scientist

Applied Scientist II, Strategic Account Services (SAS)

Data Scientist (London)

Applied Science Manager, Alexa International

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