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Salary
≈ $72k – $193k per year (Estimated)
Location
In office (London)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
MENA Alliances is a woman-owned talent and remote staffing company based in London that connects companies in Europe, the US, Asia and the Gulf with vetted tech professionals from the Middle East and North Africa. Founded by Palestinian entrepreneur Abeer Abu Ghaith, it offers direct placement, staff augmentation and project-based teams, plus data labeling, translation and localization services, with addresses in Hebron, Gaza, Alexandria and Madaba and a Jobs for Palestine impact hiring programme. Its board lists client and internal roles such as full stack, backend and React developers, AI and ML engineers, designers, recruiters and marketing managers.

About

the role:

We're thrilled to present an

incredible career opportunity! We're recruiting on behalf of a renowned

multinational company based in the United Kingdom, seeking an Applied Scientist

to drive cutting-edge research in machine learning and create scalable personalization

solutions.

What you’ll

do:

In this role, you’ll spearhead the development

of machine learning models capable of processing vast amounts of data and

delivering low-latency recommendations to customers globally. With a commitment

to scientific rigor, you’ll design and conduct experiments that showcase both

the technical strength and business impact of your models. Collaborating

closely with a dedicated team of scientists and engineers, you’ll drive the

creation of innovative recommendation systems that put customer needs first,

enhancing the company’s reputation as a global leader in machine learning and

personalisation.

Key responsibilities:

  • Design and implement

    personalized recommendation systems across customer touchpoints.

  • Collaborate with engineers

    to deploy models into scalable, low-latency production systems.

  • Provide machine learning

    insights to guide strategic business and technical decisions.

  • Lead the science roadmap,

    aligning research goals with organizational priorities.

  • Work with product managers to create

    customer-focused, machine-backed solutions.

  • Share results through rigorous, impactful

    reports for team and scientific audiences.

Requirements

Basic

qualifications

- PhD, or a Master's degree and

experience in CS, CE, ML or related field research

- Experience programming in Java, C++, Python or related language

- Experience in building machine learning models for business application

- Experience with contextual bandits, off-policy evaluation and learning to

rank models

- Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,

Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions.

Preferred

qualifications

- Experience using Unix/Linux

- Experience in professional software development

- Experience working within an Agile environment working with software

engineers to launch products for customers.

Benefits

  • Immigration support: The company provides support for

    your immigration process to the United Kingdom.

  • Competitive Salary: Enjoy a competitive salary

    package reflective of your skills and experience.

  • Global Experience: Gain international

    experience by working with a diverse team in a dynamic region.

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