Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Big Data Developer

MANNING SERVICES LIMITED
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Model Developer - Commercial Lending

AI and Machine Learning (ML) Developer, Oxford UK

AI Sr. Data Engineer

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Keywords likeSpark, Hadoop, Bigdata, Scala, spark-scala, data engineer, ETL, AWS (S3, EMR, Glue ETL)etc. in the resumes.


Job Titte: Big Data Engineer with Spark - Scala exp (mandatory)

FTC for 12 month


Job Description:

As a Scala Developer, you will be responsible for designing, developing, and maintaining Scala applications. You will collaborate with cross-functional teams to define, design, and ship new features, as well as maintain and improve existing codebases. Your role will also involve troubleshooting, debugging, and optimizing application performance. You should have a strong understanding of functional programming concepts and be proficient in Scala, as well as have experience with related technologies.


Skills and Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Scala Developer or similar role.
  • Strong understanding of functional programming concepts.
  • Proficiency in Scala programming language.
  • Experience with Akka, Play Framework, or other Scala frameworks.
  • Familiarity with build tools such as SBT.
  • Knowledge of database systems (SQL and NoSQL) and experience with data modeling.
  • Understanding of distributed computing principles.
  • Familiarity with microservices architecture.
  • Experience with version control systems, preferably Git.
  • Excellent problem-solving and communication skills.
  • Ability to work both independently and collaboratively in a team environment.
  • Knowledge of Agile development methodologies


Regards

Shikha

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.