

Hope Tech
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 12-month contract, offering a pay rate of £57,920.66-£84,081.44 per year. Key skills required include TensorFlow, Python, AWS, and experience with big data tools like Hadoop and Spark.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
382
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🗓️ - Date
November 13, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London E16
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🧠 - Skills detailed
#Deployment #Cloud #ML (Machine Learning) #Database Architecture #Scripting #Unix #Scala #Shell Scripting #TensorFlow #Data Processing #Java #Hadoop #Data Mining #R #SQL (Structured Query Language) #Big Data #AWS (Amazon Web Services) #Data Manipulation #NLP (Natural Language Processing) #SAS #Data Analysis #VBA (Visual Basic for Applications) #Python #Datasets #AI (Artificial Intelligence) #Deep Learning #Database Design #Spark (Apache Spark) #Data Science #Automation #Bash
Role description
Job OverviewWe are seeking a highly skilled Machine Learning Engineer to join our innovative team. The successful candidate will be responsible for designing, developing, and deploying advanced machine learning models and AI solutions that drive business insights and optimise operational efficiency. This role offers an exciting opportunity to work with cutting-edge technologies in a dynamic environment, contributing to the development of scalable data-driven applications.
Duties
Develop and implement machine learning models using frameworks such as TensorFlow and utilise Python for model development and data analysis.
Design and optimise database architectures to support large-scale data processing and analysis.
Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment on cloud platforms like AWS.
Conduct data mining and exploratory data analysis to identify patterns, trends, and insights that inform strategic decision-making.
Utilise big data tools such as Hadoop, Spark, and SQL to manage and process extensive datasets efficiently.
Implement natural language processing techniques for projects involving text analysis or language understanding.
Write efficient scripts using Bash (Unix shell) and VBA for automation tasks and data manipulation.
Stay abreast of emerging trends in AI, machine learning, and big data technologies to continuously enhance model performance and system capabilities.
Skills
Proven experience with AWS cloud services for deploying scalable machine learning solutions.
Strong proficiency in TensorFlow, Python, R, SQL, Java, C, SAS, and VBA.
Expertise in database design principles and experience working with large datasets using Hadoop, Spark, and other big data tools.
Solid understanding of machine learning algorithms, data mining techniques, and natural language processing methods.
Familiarity with AI frameworks such as TensorFlow and knowledge of deep learning architectures.
Experience with Bash (Unix shell scripting) for automation purposes.
Ability to analyse complex datasets using R or Python for predictive modelling and statistical analysis.
Excellent problem-solving skills with the capacity to translate business needs into technical solutions. This role is ideal for a proactive professional passionate about leveraging data science and AI to solve real-world problems within a collaborative environment. Applicants should demonstrate a strong technical background combined with innovative thinking to contribute effectively to our projects.
Job Types: Full-time, Permanent, Fixed term contractContract length: 12 months
Pay: £57,920.66-£84,081.44 per year
Work Location: In person
Job OverviewWe are seeking a highly skilled Machine Learning Engineer to join our innovative team. The successful candidate will be responsible for designing, developing, and deploying advanced machine learning models and AI solutions that drive business insights and optimise operational efficiency. This role offers an exciting opportunity to work with cutting-edge technologies in a dynamic environment, contributing to the development of scalable data-driven applications.
Duties
Develop and implement machine learning models using frameworks such as TensorFlow and utilise Python for model development and data analysis.
Design and optimise database architectures to support large-scale data processing and analysis.
Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment on cloud platforms like AWS.
Conduct data mining and exploratory data analysis to identify patterns, trends, and insights that inform strategic decision-making.
Utilise big data tools such as Hadoop, Spark, and SQL to manage and process extensive datasets efficiently.
Implement natural language processing techniques for projects involving text analysis or language understanding.
Write efficient scripts using Bash (Unix shell) and VBA for automation tasks and data manipulation.
Stay abreast of emerging trends in AI, machine learning, and big data technologies to continuously enhance model performance and system capabilities.
Skills
Proven experience with AWS cloud services for deploying scalable machine learning solutions.
Strong proficiency in TensorFlow, Python, R, SQL, Java, C, SAS, and VBA.
Expertise in database design principles and experience working with large datasets using Hadoop, Spark, and other big data tools.
Solid understanding of machine learning algorithms, data mining techniques, and natural language processing methods.
Familiarity with AI frameworks such as TensorFlow and knowledge of deep learning architectures.
Experience with Bash (Unix shell scripting) for automation purposes.
Ability to analyse complex datasets using R or Python for predictive modelling and statistical analysis.
Excellent problem-solving skills with the capacity to translate business needs into technical solutions. This role is ideal for a proactive professional passionate about leveraging data science and AI to solve real-world problems within a collaborative environment. Applicants should demonstrate a strong technical background combined with innovative thinking to contribute effectively to our projects.
Job Types: Full-time, Permanent, Fixed term contractContract length: 12 months
Pay: £57,920.66-£84,081.44 per year
Work Location: In person




