Algorithm engineer Work, Jobs in Flamstead, Hrt (with Salaries)

Data Scientist I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Research Scientist Intern, Photorealistic Telepresence (PhD)
Meta —London
- Doctoral degree
- Computer Science
- C++
4d
Python Engineer - B2B SaaS Fintech
Landytech —London
- Full-time
- Hybrid work
- C++
- Bachelor's degree
- APIs
- Work from home
- Gym membership
Quick apply
Software Engineer - SDIM
vServices —London
- SQL
- Analysis skills
- Bachelor's degree
Senior Quantitative Specialist- Football
White Swan Data —London
- £80,000 - £300,000 a year
- Full-time
- Computer Science
- C++
- Maths
Quick apply
Backend engineer (Fin-tech)
Dazzle: Commercial & Office Cleaning | London —London
- Hybrid work
- Computer Science
- DevOps
- Engineering
Quick apply
Computer Vision Engineer
VivaCity —London
- Full-time
- Hybrid work
- AI
Quick apply
Engineering Manager
Oakbridge Talent —London
- £110,000 - £120,000 a year
- Full-time
- Hybrid work
- AWS
- Leadership
- Python
Quick apply
11d
Senior Software Engineer C++
Envisics —Milton Keynes
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Analysis skills
- Flexible schedule
Quick apply
Capability Lead - Weapon System Performance
MBDA —Stevenage
- £65,000 a year
- Leadership
10d
Software Engineer - Devices
vServices —London
- Oracle
- Java
- SQL
Software Engineer - Applications
vServices —London
- Master's degree
- Bachelor's degree
- Linux
Data Scientist – Agentic AI - Permanent UK
Satalia —London
- Remote
- Computer Science
- SQL
- Machine learning
- Flexible schedule
iOS Engineer
JINGDONG RETAIL (UK) LIMITED —London
- Computer Science
- English
- Bachelor's degree
Quick apply
Software Engineer
White Swan Data —London
- Full-time
- SQL
- Python
Quick apply
Communications Test Engineer I
CesiumAstro —Milton Keynes
- Full-time
- Engineering
- Software development
- Linux
Senior Software Engineer - (Optimisation/Operations Research)
Flexciton —London
- Hybrid work
- Computer Science
- Bachelor's degree
- Software development
- Employee discount
4d
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —London
- Doctoral degree
- Computer Science
- Data analysis skills
Science and Technology Lead - AI for Chemistry (Olfactory Perception)
ARIA —London
- £70,000 - £105,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Women in Engineering Community
MBDA —Stevenage
- Hybrid work
- In-person
- Free parking
- Relocation assistance

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Data Scientist I - QuantumBlack, AI by McKinsey

McKinsey & Company -
London

Apply Now

Job details

Qualifications

Azure
Data mining
Doctoral degree
Computer Science
Kubernetes
SAS
R
English
Google Cloud Platform
Master's degree
SQL
Statistical analysis
AWS
Docker
Bachelor's degree
Machine learning
Organisational skills
AI
SPSS
Communication skills
Python
Time management

Full job description

Job ID: 102714

London

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries.

You’ll grow as a technologist by contributing to cutting-edge projects, R&D, and global conferences while working alongside world-class talent in a dynamic, innovative environment.

You will partner with clients to understand their needs and develop impactful analytics solutions. You will translate business problems into analytical challenges, build models to solve them, and ensure they are evaluated with relevant metrics. You’ll also contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at conferences like NIPS and ICML.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting improvements across industries.

You will be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide, working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports.

You’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, tackle real-life challenges across diverse industries, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields

Up to 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data sets

Programming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-have

Ability to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domains

Ability to independently own and drive model development while balancing competing demands and deadlines

Demonstrated aptitude for analytics and a passion for solving complex data challenges

While we advocate using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure

Experience with Generative AI (GenAI) and agentic systems would be considered a strong plus

Excellent time management and organizational skills to succeed in a complex and largely autonomous work environment

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

Willingness to travel

Strong communication skills, both verbal and written, in English, with the ability to adapt to different audiences and seniority levels

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Apply Now

Refine Your Search

algorithm engineer jobs in flamstead, hrt

Data Scientist I - QuantumBlack, AI by McKinsey

Research Scientist Intern, Photorealistic Telepresence (PhD)

Python Engineer - B2B SaaS Fintech

Software Engineer - SDIM

Senior Quantitative Specialist- Football

Backend engineer (Fin-tech)

Computer Vision Engineer

Engineering Manager

Senior Software Engineer C++

Capability Lead - Weapon System Performance

Software Engineer - Devices

Software Engineer - Applications

Data Scientist – Agentic AI - Permanent UK

iOS Engineer

Software Engineer

Communications Test Engineer I

Senior Software Engineer - (Optimisation/Operations Research)

Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

Science and Technology Lead - AI for Chemistry (Olfactory Perception)

Women in Engineering Community

I want to receive the latest job alerts for algorithm engineer in flamstead, hrt

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