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RK Infotech LLC · England, United Kingdom

Machine Learning Engineer

entry_levelfull timeVisa sponsorshipPosted 17 days ago
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Stack mentioned

machine-learningpythondeep-learningdata-analysisdata-structuresartificial-intelligencepandasnumpypytorchtensorflowstatisticssqldata-science

Job Title - Machine Learning Engineer

Location: London, UK

Employment Type: Full-Time

Experience: 0–2 Years

Visa: Graduate Visa (PSW) holders welcome

Job Summary

We are looking for a motivated Machine Learning Engineer to join our growing technology team. This role is ideal for recent graduates or early-career professionals who have strong fundamentals in Python, Machine Learning, Deep Learning, and data analysis and are looking to build their career in the UK.

Key Responsibilities

- Develop and test machine learning models.

- Perform data preprocessing, feature engineering, and model evaluation.

- Work with supervised and unsupervised learning algorithms.

- Develop ML solutions using Python and relevant ML frameworks.

- Assist with model deployment and optimization.

- Analyze datasets and identify meaningful patterns and insights.

- Collaborate with software and data teams on AI/ML projects.

- Maintain technical documentation and project reports.

- Stay updated with emerging Machine Learning and AI technologies.

Required Skills

- Strong knowledge of Python.

- Understanding of Machine Learning and Deep Learning concepts.

- Experience with Pandas, NumPy and Scikit-learn.

- Basic knowledge of PyTorch or TensorFlow.

- Good understanding of statistics and data structures.

- Knowledge of SQL is preferred.

- Strong analytical and problem-solving skills.

- Good communication and teamwork skills.

Qualifications

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Engineering, or a related field.

- Recent UK graduates are encouraged to apply.

- Graduate Visa (PSW) holders are welcome.

- Candidates requiring future Skilled Worker sponsorship may also be considered, subject to company policy and eligibility.

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