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Bizmoni - AI Business Network

Machine Learning Engineer

United Kingdom
Posted about 22 hours ago
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Machine Learning Engineer (Remote, Part-Time)

About Bizmoni

Bizmoni is The AI Business Network.

Our mission is to help people and businesses Run Their Business, Manage Their Money, and Build Relationships through a unified AI-powered ecosystem.

Bizmoni combines AI assistants, business management tools, education, community, commerce, networking, venture opportunities, and strategic partnerships into one platform designed to help users earn, learn, and grow in the AI economy.

As we continue expanding our AI capabilities, we are seeking a talented Machine Learning Engineer to help design, build, deploy, and optimize machine learning solutions that power intelligent experiences across the Bizmoni platform.

Role Overview

The Machine Learning Engineer will be responsible for developing, training, deploying, and maintaining machine learning models and AI systems that enhance Bizmoni's products, services, and member experiences.

Working closely with Bizmoni's leadership, product, engineering, AI, data, and operations teams, you will build scalable machine learning solutions that support personalization, recommendations, automation, analytics, intelligent assistants, fraud detection, predictive insights, and business optimization.

This role is ideal for an innovative technology professional who is passionate about artificial intelligence, machine learning, data-driven decision-making, and building solutions that create measurable business value.

Key Responsibilities

Machine Learning Development

  • Design, develop, train, evaluate, and deploy machine learning models.
  • Build AI solutions that improve user experiences across the Bizmoni ecosystem.
  • Develop recommendation engines, predictive models, classification systems, and intelligent automation solutions.
  • Monitor model performance and continuously improve accuracy, efficiency, and reliability.
  • Implement model versioning, testing, monitoring, and lifecycle management processes.

Data Engineering & Model Training

  • Prepare, clean, transform, and validate large datasets for machine learning applications.
  • Develop and maintain training pipelines for structured and unstructured data.
  • Collaborate with data engineers and software developers to ensure high-quality data availability.
  • Conduct feature engineering and model optimization activities.
  • Evaluate and benchmark different machine learning approaches and algorithms.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

AI Platform & Deployment

  • Deploy machine learning models into production environments.
  • Develop scalable APIs and services that integrate AI capabilities into Bizmoni applications.
  • Collaborate with software engineering teams to embed AI solutions into business workflows.
  • Optimize model performance, scalability, and operational efficiency.
  • Support cloud-based AI infrastructure and MLOps best practices.

AI Innovation

  • Research emerging AI, machine learning, deep learning, and generative AI technologies.
  • Identify opportunities to leverage AI for business growth and operational efficiencies.
  • Evaluate new models, frameworks, and tools that can enhance Bizmoni's platform.
  • Support innovation initiatives related to AI assistants, predictive analytics, personalization, and intelligent automation.
  • Contribute to AI governance, responsible AI practices, and technical standards.

Collaboration & Support

  • Work closely with business stakeholders to translate business challenges into machine learning solutions.
  • Communicate technical concepts and model outcomes to both technical and non-technical audiences.
  • Document model architectures, training methodologies, deployment strategies, and performance metrics.
  • Collaborate with remote teams across product, engineering, operations, and leadership functions.
  • Provide ongoing maintenance, troubleshooting, and optimization of deployed AI systems.

Qualifications

Required

  • Proven experience developing and deploying machine learning models in production environments.
  • Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar frameworks.
  • Solid understanding of machine learning algorithms, statistics, data science, and predictive modeling techniques.
  • Experience working with large datasets and data processing pipelines.
  • Knowledge of SQL, databases, and data management principles.
  • Experience building REST APIs and integrating machine learning services into applications.
  • Strong problem-solving, analytical, and debugging skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently in a remote, fast-paced environment.

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Preferred

  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems.
  • Experience with Azure AI, Azure Machine Learning, Azure OpenAI, AWS SageMaker, Google Vertex AI, or similar platforms.
  • Knowledge of MLOps, model monitoring, CI/CD pipelines, and deployment automation.
  • Experience with vector databases, embeddings, semantic search, and AI-powered recommendation systems.
  • Familiarity with Docker, Kubernetes, and cloud-native architectures.
  • Experience working within SaaS, AI, startup, marketplace, fintech, or technology-driven organizations.
  • Relevant certifications in AI, Machine Learning, Data Science, Azure, AWS, or Google Cloud are highly desirable.

What Success Looks Like

  • High-performing machine learning models are successfully deployed across the Bizmoni ecosystem.
  • AI-powered features improve member engagement, retention, and satisfaction.
  • Predictive analytics and intelligent automation deliver measurable business value.
  • Machine learning systems operate reliably, efficiently, and at scale.
  • New AI innovations accelerate Bizmoni's growth and competitive advantage.
  • Bizmoni strengthens its position as The AI Business Network through practical and scalable AI adoption.

Why Join Bizmoni?

  • Help build the next generation AI Super App and AI Business Network.
  • Work directly with executive leadership on strategic AI initiatives.
  • Develop innovative machine learning solutions with real-world impact.
  • Flexible remote, part-time engagement.
  • Collaborate with a global team focused on transforming how people earn, learn, and grow in the AI economy.
  • Gain exposure to cutting-edge AI, machine learning, automation, and data technologies.
  • Opportunity to grow with a rapidly expanding AI-driven company.

Join Bizmoni and help build the intelligent machine learning systems that power the future of The AI Business Network.

Contact Us

  • E-Mail: info@bizmoni.com
  • Website: www.bizmoni.com

To learn more about Bizmoni, visit our website and company page.

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Skills

Python
TensorFlow
PyTorch
Scikit-learn
XGBoost
Machine Learning
SQL
REST APIs
Generative AI
Large Language Models
Retrieval-Augmented Generation
MLOps
Azure AI
AWS SageMaker
Google Vertex AI
Docker

Location

United Kingdom

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